failure_mode_sensor_analysis

Question: In compressor, when unbalance occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- leak reactance flux
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- length measurement
- coast down time
- speed
- frequency response analysis (fra)
- vibration
- power
- oil condition
- power turbine temperature


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of misalignment in asset compressor?

Choices:
- compressor efficiency
- pressure or vacuum
- visual
- speed
- length measurement
- turbine efficiency
- oil leakage
- fluid leakage
- output power
- exhaust temperature


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of misalignment in asset compressor?

Choices:
- compresor pressure/ pressure ratio
- temperature
- ultrasound
- exhaust pressure
- oil debris
- speed
- partial discharge
- length
- vibration
- fluid leakage


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of air inlet blockage in asset reciprocating internal combustion engine?

Choices:
- bushing capacitance
- engine temperature
- air leakage
- output power
- fuel flow
- input power
- visual
- oil debris
- vibration
- power


failure_mode_sensor_analysis

Question: When a reciprocating internal combustion engine has air inlet blockage, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- pressure or vacuum
- compressor pressure
- oil debris
- oil consumption
- power turbine temperature
- pressure ratio
- compresor pressure/ pressure ratio
- exhaust temperature
- cylinder pressure
- output power


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of air inlet blockage in asset reciprocating internal combustion engine?

Choices:
- pressure (head)
- steam leakage
- oil debris
- air flow
- cooling fluid leak
- leak reactance flux
- fuel pressure
- excitation current
- exhaust temperature
- voltage


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of air inlet blockage in reciprocating internal combustion engine?

Choices:
- radio frequency emissions
- output power
- exhaust pressure
- cooling fluid leak
- oil consumption
- current
- compressor pressure
- electrical phase
- exhaust temperature
- oil leakage/ consumption


failure_mode_sensor_analysis

Question: When a reciprocating internal combustion engine has fuel injector fault, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- cooling fluid leak
- steam leakage
- pressure ratio
- bushing capacitance
- oil debris
- cooling gas
- length
- fuel pressure
- exhaust pressure
- engine temperature


failure_mode_sensor_analysis

Question: When a reciprocating internal combustion engine has fuel injector fault, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- power
- fuel pressure
- cylinder pressure
- axial flux
- oil leakage/ consumption
- electrical phase
- fluid leakage
- oil debris
- exhaust pressure
- cooling fluid leak


failure_mode_sensor_analysis

Question: When a reciprocating internal combustion engine has fuel injector fault, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- exhaust pressure
- oil debris
- air flow
- compresor pressure/ pressure ratio
- cooling fluid leak
- cooling gas
- fuel pressure
- excitation current
- power turbine temperature
- bushing capacitance


failure_mode_sensor_analysis

Question: For reciprocating internal combustion engine, if fuel injector fault happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- oil condition
- frequency response analysis (fra)
- exhaust pressure
- cooling gas
- cooling fluid leak
- oil debris
- fuel flow
- fluid flow
- power turbine temperature
- fuel pressure


failure_mode_sensor_analysis

Question: For reciprocating internal combustion engine, if fuel injector fault happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- exhaust pressure
- cooling fluid leak
- oil debris
- fuel pressure
- oil leakage
- angular position
- compressor pressure
- length
- exhaust temperature
- turbine efficiency


failure_mode_sensor_analysis

Question: For reciprocating internal combustion engine, if fuel injector fault happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- vibration
- resistance
- partial discharge
- cooling fluid leak
- compressor temperature
- steam leakage
- exhaust pressure
- oil debris
- fuel pressure
- voltage


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of fuel injector fault in reciprocating internal combustion engine?

Choices:
- voltage
- oil debris
- length measurement
- dissolved gas analysis
- cooling fluid leak
- fuel pressure
- output power
- pressure ratio
- power factor
- exhaust pressure


failure_mode_sensor_analysis

Question: When a reciprocating internal combustion engine has fuel injector fault, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- oil consumption
- pressure or vacuum
- coast down
- exhaust pressure
- pressure (head)
- axial flux
- gas generator temperature
- cooling fluid leak
- fuel pressure
- oil debris


failure_mode_sensor_analysis

Question: For reciprocating internal combustion engine, if ignition fault happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- engine temperature
- cooling fluid leak
- ultrasound
- gas generator temperature
- voltage
- length measurement
- oil leakage
- fuel pressure
- air flow
- oil debris


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of ignition fault in asset reciprocating internal combustion engine?

Choices:
- cooling fluid leak
- cylinder pressure
- resistance
- oil leakage/ consumption
- fluid flow
- exhaust pressure
- oil debris
- fuel pressure
- cooling gas
- turbine efficiency


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of ignition fault in asset reciprocating internal combustion engine?

Choices:
- oil leakage/ consumption
- oil condition
- pressure ratio
- fuel pressure
- air flow
- coast down time
- axial flux
- cooling fluid leak
- fuel flow
- exhaust pressure


failure_mode_sensor_analysis

Question: When dealing with ignition fault in reciprocating internal combustion engine, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- exhaust temperature
- resistance
- input power
- fluid flow
- oil debris
- fuel pressure
- cooling fluid leak
- radio frequency emissions
- air flow


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of ignition fault in reciprocating internal combustion engine?

Choices:
- oil debris/ contamination
- fuel pressure
- vibration
- steam leakage
- exhaust pressure
- air flow
- cooling fluid leak
- air leakage
- compressor pressure
- amps/ volts/ load


failure_mode_sensor_analysis

Question: For reciprocating internal combustion engine, if ignition fault happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- output power
- excitation current
- fuel pressure
- oil leakage/ consumption
- angular position
- air leakage
- air flow
- power factor
- cooling fluid leak
- oil debris


failure_mode_sensor_analysis

Question: When a reciprocating internal combustion engine has ignition fault, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- cooling fluid leak
- input power
- oil debris/ contamination
- oil consumption
- angular position
- exhaust pressure
- air flow
- oil leakage
- oil debris
- bushing capacitance


failure_mode_sensor_analysis

Question: When dealing with bearing wear in reciprocating internal combustion engine, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- compressor temperature
- fuel flow
- oil consumption
- dissolved gas analysis
- radio frequency emissions
- pressure or vacuum
- air flow
- engine temperature
- compresor pressure/ pressure ratio
- vibration


failure_mode_sensor_analysis

Question: When dealing with bearing wear in reciprocating internal combustion engine, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- turbine efficiency
- fuel flow
- oil debris
- air flow
- resistance
- exhaust temperature
- axial flux
- air leakage
- radio frequency emissions
- oil consumption


failure_mode_sensor_analysis

Question: For reciprocating internal combustion engine, if fuel filter blockage happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- compressor temperature
- air leakage
- cylinder pressure
- fuel pressure
- coast down time
- cooling fluid leak
- pressure ratio
- air flow
- current
- oil debris


failure_mode_sensor_analysis

Question: When dealing with fuel filter blockage in reciprocating internal combustion engine, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- output power
- compressor pressure
- cylinder pressure
- fuel flow
- power turbine temperature
- oil consumption
- compressor efficiency
- fluid flow
- fluid leakage
- oil debris


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of fuel filter blockage in asset reciprocating internal combustion engine?

Choices:
- exhaust pressure
- bushing capacitance
- engine temperature
- cylinder pressure
- compressor pressure
- fluid flow
- output power
- power factor
- air flow
- steam leakage


failure_mode_sensor_analysis

Question: In reciprocating internal combustion engine, when seal leakage occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- oil leakage
- cylinder pressure
- current
- engine temperature
- output power
- pressure ratio
- cooling fluid leak
- exhaust temperature
- radio frequency emissions
- gas generator temperature


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of seal leakage in asset reciprocating internal combustion engine?

Choices:
- length
- cooling fluid leak
- axial flux
- radio frequency emissions
- bushing capacitance
- frequency response analysis (fra)
- oil debris
- cylinder pressure
- exhaust pressure
- fuel pressure


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of seal leakage in asset reciprocating internal combustion engine?

Choices:
- oil leakage
- output power
- oil debris
- cooling fluid leak
- engine temperature
- oil consumption
- resistance
- frequency response analysis (fra)
- radio frequency emissions
- air leakage


failure_mode_sensor_analysis

Question: For reciprocating internal combustion engine, if a failure event piston ring fault occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- amps/ volts/ load
- leak reactance flux
- electrical phase
- engine temperature
- ultrasound
- fluid leakage
- exhaust pressure
- fuel flow
- cylinder pressure
- exhaust temperature


failure_mode_sensor_analysis

Question: When a reciprocating internal combustion engine has piston ring fault, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- power factor
- length
- output power
- oil condition
- bushing capacitance
- exhaust pressure
- cooling fluid leak
- engine temperature
- fuel pressure
- ultrasound


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of piston ring fault in reciprocating internal combustion engine?

Choices:
- turbine efficiency
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- leak reactance flux
- oil consumption
- fuel pressure
- angular position
- oil leakage/ consumption
- fuel flow
- exhaust temperature
- cooling fluid leak


failure_mode_sensor_analysis

Question: In reciprocating internal combustion engine, when piston ring fault occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- fuel flow
- fuel pressure
- oil debris/ contamination
- angular position
- frequency response analysis (fra)
- compressor efficiency
- exhaust temperature
- oil debris
- exhaust pressure
- power factor


failure_mode_sensor_analysis

Question: When dealing with cooling system fault in reciprocating internal combustion engine, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- axial flux
- oil condition
- fuel pressure
- pressure (head)
- visual
- engine temperature
- fuel flow
- power
- cylinder pressure
- output power


failure_mode_sensor_analysis

Question: For reciprocating internal combustion engine, if a failure event cooling system fault occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- fuel pressure
- exhaust pressure
- visual
- cylinder pressure
- oil debris/ contamination
- coast down
- exhaust temperature
- air flow
- axial flux
- pressure (head)


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of cooling system fault in asset reciprocating internal combustion engine?

Choices:
- fuel pressure
- partial discharge
- pressure (head)
- vibration
- gas generator temperature
- turbine efficiency
- oil consumption
- exhaust temperature
- cylinder pressure
- visual


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of cooling system fault in reciprocating internal combustion engine?

Choices:
- oil debris
- vibration
- fuel pressure
- air flow
- voltage
- engine temperature
- visual
- frequency response analysis (fra)
- power turbine temperature
- turbine efficiency


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of cooling system fault in asset reciprocating internal combustion engine?

Choices:
- resistance
- cylinder pressure
- cooling fluid leak
- fuel pressure
- gas generator temperature
- air flow
- frequency response analysis (fra)
- exhaust temperature
- length
- ultrasound


failure_mode_sensor_analysis

Question: When dealing with secondary balance gear fault in reciprocating internal combustion engine, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- cylinder pressure
- cooling fluid leak
- vibration
- compresor pressure/ pressure ratio
- ultrasound
- exhaust temperature
- length measurement
- current
- voltage
- fuel pressure


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of gear defects in reciprocating internal combustion engine?

Choices:
- vibration
- exhaust pressure
- length measurement
- fuel pressure
- pressure ratio
- dissolved gas analysis
- current
- oil leakage/ consumption
- oil consumption
- output power


failure_mode_sensor_analysis

Question: For reciprocating internal combustion engine, if gear defects happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- exhaust pressure
- bushing capacitance
- power factor
- air flow
- engine temperature
- oil debris
- power turbine temperature
- output power
- excitation current
- compresor pressure/ pressure ratio


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of flywheel damage in asset reciprocating internal combustion engine?

Choices:
- coast down time
- engine temperature
- exhaust temperature
- amps/ volts/ load
- pressure or vacuum
- output power
- vibration
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- oil debris/ contamination
- cylinder pressure


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of flywheel damage in asset reciprocating internal combustion engine?

Choices:
- electrical phase
- compresor pressure/ pressure ratio
- engine temperature
- axial flux
- fuel pressure
- oil condition
- compressor pressure
- oil debris
- output power
- exhaust pressure


failure_mode_sensor_analysis

Question: When a reciprocating internal combustion engine has mounting fault, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- oil debris
- vibration
- coast down time
- ultrasound
- oil consumption
- input power
- cooling fluid leak
- fuel flow
- compresor pressure/ pressure ratio
- voltage


failure_mode_sensor_analysis

Question: For reciprocating internal combustion engine, if unbalance happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- exhaust temperature
- fuel pressure
- vibration
- air flow
- voltage
- visual
- oil debris/ contamination
- compresor pressure/ pressure ratio
- output power
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of misalignment in asset reciprocating internal combustion engine?

Choices:
- cylinder pressure
- partial discharge
- fluid leakage
- coast down
- engine temperature
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- oil debris
- vibration
- air flow
- amps/ volts/ load


failure_mode_sensor_analysis

Question: In electric generator, when rotor windings fault occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- current
- exhaust temperature
- steam leakage
- pressure
- partial discharge
- power
- radio frequency emissions
- oil debris
- power factor
- efficiency derived


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of rotor windings fault in asset electric generator?

Choices:
- vibration
- ultrasound
- amps/ volts/ load
- compressor temperature
- partial discharge
- radio frequency emissions
- pressure ratio
- torque
- oil debris
- fluid flow


failure_mode_sensor_analysis

Question: When a electric generator has rotor windings fault, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- bushing capacitance
- engine temperature
- resistance
- length measurement
- radio frequency emissions
- oil debris
- power
- pressure (head)
- temparature
- fuel flow


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of rotor windings fault in asset electric generator?

Choices:
- cooling fluid leak
- length measurement
- axial flux
- compressor pressure
- leak reactance flux
- radio frequency emissions
- oil debris
- efficiency derived
- voltage
- resistance


failure_mode_sensor_analysis

Question: For electric generator, if rotor windings fault happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- cylinder pressure
- partial discharge
- cooling gas
- torque
- excitation current
- oil leakage
- compressor efficiency
- length
- power
- coast down


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of stator windings fault in asset electric generator?

Choices:
- angular position
- pressure ratio
- partial discharge
- bushing capacitance
- coast down
- power
- current
- resistance
- length measurement
- pressure


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of stator windings fault in asset electric generator?

Choices:
- power
- coast down time
- ultrasound
- vibration
- pressure or vacuum
- voltage
- coast down
- exhaust temperature
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- partial discharge


failure_mode_sensor_analysis

Question: For electric generator, if a failure event stator windings fault occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- ultrasound
- air flow
- resistance
- torque
- temparature
- coast down
- pressure (head)
- coast down time
- power
- oil leakage/ consumption


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of stator windings fault in asset electric generator?

Choices:
- oil leakage/ consumption
- axial flux
- oil debris
- coast down
- pressure (head)
- exhaust temperature
- ultrasound
- turbine efficiency
- voltage
- power


failure_mode_sensor_analysis

Question: When dealing with stator windings fault in electric generator, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- cooling gas
- partial discharge
- oil condition
- oil debris
- torque
- frequency response analysis (fra)
- voltage
- compressor temperature
- fuel pressure
- efficiency derived


failure_mode_sensor_analysis

Question: For electric generator, if a failure event eccentric rotor occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- current
- voltage
- oil debris
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- partial discharge
- fuel flow
- cylinder pressure
- angular position
- temparature
- cooling fluid leak


failure_mode_sensor_analysis

Question: When dealing with eccentric rotor in electric generator, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- partial discharge
- cooling fluid leak
- length measurement
- resistance
- pressure (head)
- vibration
- fluid flow
- radio frequency emissions
- torque
- turbine efficiency


failure_mode_sensor_analysis

Question: When dealing with eccentric rotor in electric generator, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- excitation current
- oil debris
- axial flux
- pressure (head)
- dissolved gas analysis
- partial discharge
- power factor
- temparature
- angular position
- resistance


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of brush(es) fault in asset electric generator?

Choices:
- turbine efficiency
- vibration
- cooling gas
- amps/ volts/ load
- current
- excitation current
- power turbine temperature
- oil debris
- partial discharge
- bushing capacitance


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of brush(es) fault in asset electric generator?

Choices:
- compresor pressure/ pressure ratio
- voltage
- angular position
- oil debris
- leak reactance flux
- power factor
- coast down
- cooling gas
- steam leakage
- vibration


failure_mode_sensor_analysis

Question: When a electric generator has brush(es) fault, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- axial flux
- cooling gas
- power
- exhaust pressure
- oil debris
- cooling fluid leak
- compressor temperature
- amps/ volts/ load
- resistance
- coast down time


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of brush(es) fault in electric generator?

Choices:
- gas generator temperature
- compressor pressure
- torque
- air leakage
- cooling gas
- oil leakage
- partial discharge
- vibration
- visual
- resistance


failure_mode_sensor_analysis

Question: When a electric generator has brush(es) fault, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- gas generator temperature
- bushing capacitance
- exhaust temperature
- cooling gas
- resistance
- coast down
- oil debris
- radio frequency emissions
- fluid flow
- visual


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of brush(es) fault in asset electric generator?

Choices:
- vibration
- pressure
- power factor
- air leakage
- temparature
- cylinder pressure
- partial discharge
- cooling gas
- air flow
- coast down


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of bearing damage in asset electric generator?

Choices:
- torque
- oil condition
- cooling gas
- visual
- cylinder pressure
- exhaust pressure
- bushing capacitance
- radio frequency emissions
- power
- resistance


failure_mode_sensor_analysis

Question: In electric generator, when bearing damage occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- voltage
- efficiency derived
- oil debris/ contamination
- cooling gas
- vibration
- partial discharge
- bushing capacitance
- engine temperature
- resistance
- oil leakage


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of bearing damage in electric generator?

Choices:
- cylinder pressure
- exhaust pressure
- partial discharge
- temparature
- power factor
- leak reactance flux
- current
- radio frequency emissions
- resistance
- fuel flow


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of bearing damage in electric generator?

Choices:
- resistance
- cooling fluid leak
- current
- coast down
- cooling gas
- bushing capacitance
- length measurement
- excitation current
- axial flux
- cylinder pressure


failure_mode_sensor_analysis

Question: When dealing with bearing damage in electric generator, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- cooling gas
- fluid flow
- voltage
- oil debris
- power
- amps/ volts/ load
- exhaust temperature
- ultrasound
- current
- cooling fluid leak


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of insulation deterioration in electric generator?

Choices:
- exhaust pressure
- current
- cooling fluid leak
- pressure or vacuum
- coast down
- vibration
- length measurement
- axial flux
- pressure (head)
- oil debris


failure_mode_sensor_analysis

Question: For electric generator, if a failure event insulation deterioration occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- excitation current
- torque
- efficiency derived
- power
- amps/ volts/ load
- steam leakage
- temparature
- voltage
- axial flux
- bushing capacitance


failure_mode_sensor_analysis

Question: In electric generator, when insulation deterioration occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- resistance
- turbine efficiency
- torque
- fluid leakage
- pressure or vacuum
- leak reactance flux
- radio frequency emissions
- axial flux
- cooling fluid leak
- power


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of insulation deterioration in asset electric generator?

Choices:
- ultrasound
- angular position
- partial discharge
- torque
- compressor temperature
- vibration
- power
- fluid leakage
- frequency response analysis (fra)
- oil debris


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of insulation deterioration in asset electric generator?

Choices:
- power
- vibration
- fuel flow
- oil debris
- leak reactance flux
- ultrasound
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- temparature
- cooling gas
- oil debris/ contamination


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of loss of output power phase in asset electric generator?

Choices:
- air flow
- fluid leakage
- power
- oil debris
- dissolved gas analysis
- leak reactance flux
- partial discharge
- current
- exhaust temperature
- torque


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of loss of output power phase in asset electric generator?

Choices:
- excitation current
- fuel pressure
- turbine efficiency
- radio frequency emissions
- voltage
- pressure ratio
- coast down
- temparature
- partial discharge
- dissolved gas analysis


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of loss of output power phase in electric generator?

Choices:
- vibration
- exhaust temperature
- compresor pressure/ pressure ratio
- visual
- coast down
- frequency response analysis (fra)
- resistance
- radio frequency emissions
- temparature
- air leakage


failure_mode_sensor_analysis

Question: When dealing with unbalance in electric generator, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- length measurement
- fuel pressure
- power
- partial discharge
- vibration
- power factor
- resistance
- pressure (head)
- voltage
- compressor temperature


failure_mode_sensor_analysis

Question: For electric generator, if a failure event misalignment occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- axial flux
- fluid leakage
- visual
- vibration
- oil leakage/ consumption
- pressure or vacuum
- oil debris
- partial discharge
- compressor pressure
- coast down


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of damaged impeller in asset fan?

Choices:
- power factor
- length measurement
- excitation current
- oil leakage
- efficiency derived
- ultrasound
- gas generator temperature
- pressure ratio
- air leakage
- oil leakage/ consumption


failure_mode_sensor_analysis

Question: When dealing with damaged impeller in fan, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- compressor efficiency
- coast down
- cylinder pressure
- frequency response analysis (fra)
- visual
- oil leakage/ consumption
- oil condition
- oil leakage
- air leakage
- power


failure_mode_sensor_analysis

Question: In fan, when damaged impeller occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- exhaust temperature
- oil leakage/ consumption
- excitation current
- oil leakage
- current
- exhaust pressure
- air leakage
- fluid flow
- resistance
- pressure or vacuum


failure_mode_sensor_analysis

Question: In fan, when damaged impeller occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- speed
- torque
- length
- axial flux
- gas generator temperature
- current
- partial discharge
- air leakage
- cylinder pressure
- oil leakage


failure_mode_sensor_analysis

Question: When a fan has damaged impeller, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- compressor pressure
- cooling gas
- air leakage
- fluid flow
- turbine efficiency
- length
- vibration
- ultrasound
- frequency response analysis (fra)
- oil leakage


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of damaged impeller in asset fan?

Choices:
- coast down
- frequency response analysis (fra)
- power turbine temperature
- cooling gas
- air leakage
- oil leakage
- fluid leakage
- compresor pressure/ pressure ratio
- temperature
- output power


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of damaged impeller in asset fan?

Choices:
- axial flux
- output power
- length
- steam leakage
- excitation current
- coast down time
- exhaust pressure
- oil leakage
- current
- air leakage


failure_mode_sensor_analysis

Question: For fan, if a failure event damaged impeller occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- pressure (head)
- oil leakage
- fuel flow
- ultrasound
- air leakage
- excitation current
- exhaust temperature
- oil debris
- frequency response analysis (fra)
- cylinder pressure


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of damaged oil seals in asset fan?

Choices:
- cooling gas
- pressure ratio
- coast down time
- cooling fluid leak
- air leakage
- temperature
- length measurement
- bushing capacitance
- current
- power


failure_mode_sensor_analysis

Question: When dealing with damaged oil seals in fan, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- fluid leakage
- vibration
- pressure or vacuum
- compressor temperature
- oil condition
- visual
- cylinder pressure
- temperature
- power
- air leakage


failure_mode_sensor_analysis

Question: When dealing with damaged oil seals in fan, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- coast down time
- power
- bushing capacitance
- vibration
- compressor pressure
- steam leakage
- air leakage
- turbine efficiency
- pressure ratio
- speed


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of damaged oil seals in fan?

Choices:
- engine temperature
- vibration
- coast down time
- temperature
- oil debris
- dissolved gas analysis
- output power
- air leakage
- fuel pressure
- oil condition


failure_mode_sensor_analysis

Question: When dealing with damaged oil seals in fan, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- coast down time
- power
- oil leakage
- dissolved gas analysis
- current
- oil debris/ contamination
- efficiency derived
- vibration
- coast down
- temperature


failure_mode_sensor_analysis

Question: When a fan has damaged bellows, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- oil leakage
- speed
- air leakage
- length measurement
- coast down
- gas generator temperature
- cooling fluid leak
- pressure or vacuum
- compressor temperature
- turbine efficiency


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of eccentric impeller in fan?

Choices:
- power turbine temperature
- amps/ volts/ load
- power
- oil leakage
- air leakage
- oil debris
- resistance
- oil condition
- exhaust pressure
- length measurement


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of eccentric impeller in asset fan?

Choices:
- engine temperature
- pressure or vacuum
- frequency response analysis (fra)
- length measurement
- air leakage
- torque
- oil debris
- fluid leakage
- oil leakage
- fluid flow


failure_mode_sensor_analysis

Question: When a fan has eccentric impeller, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- air leakage
- resistance
- partial discharge
- speed
- oil leakage
- oil debris
- bushing capacitance
- pressure (head)
- excitation current
- length measurement


failure_mode_sensor_analysis

Question: For fan, if a failure event eccentric impeller occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- exhaust temperature
- oil leakage
- air leakage
- oil debris
- compressor efficiency
- frequency response analysis (fra)
- compressor temperature
- length measurement
- vibration
- cooling fluid leak


failure_mode_sensor_analysis

Question: For fan, if a failure event eccentric impeller occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- temperature
- voltage
- turbine efficiency
- bushing capacitance
- length measurement
- oil leakage
- torque
- angular position
- air leakage
- oil debris


failure_mode_sensor_analysis

Question: When dealing with eccentric impeller in fan, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- oil leakage
- air leakage
- gas generator temperature
- dissolved gas analysis
- coast down time
- cylinder pressure
- compressor temperature
- length measurement
- oil debris
- compressor efficiency


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of bearing damage in asset fan?

Choices:
- air leakage
- frequency response analysis (fra)
- amps/ volts/ load
- power turbine temperature
- pressure or vacuum
- steam leakage
- cylinder pressure
- electrical phase
- length measurement
- ultrasound


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of bearing damage in fan?

Choices:
- bushing capacitance
- coast down
- voltage
- power factor
- pressure or vacuum
- air leakage
- length
- output power
- power
- compressor pressure


failure_mode_sensor_analysis

Question: When a fan has bearing damage, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- speed
- power turbine temperature
- pressure (head)
- power factor
- leak reactance flux
- fuel flow
- pressure or vacuum
- oil debris/ contamination
- axial flux
- air leakage


failure_mode_sensor_analysis

Question: For fan, if bearing damage happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- compressor efficiency
- fluid flow
- output power
- power factor
- pressure or vacuum
- vibration
- fuel flow
- air leakage
- fluid leakage
- cylinder pressure


failure_mode_sensor_analysis

Question: For fan, if bearing damage happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- pressure or vacuum
- exhaust temperature
- leak reactance flux
- excitation current
- fluid leakage
- resistance
- current
- temperature
- air leakage
- pressure (head)


failure_mode_sensor_analysis

Question: When a fan has bearing damage, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- pressure or vacuum
- air leakage
- steam leakage
- frequency response analysis (fra)
- turbine efficiency
- coast down time
- output power
- compresor pressure/ pressure ratio
- bushing capacitance
- dissolved gas analysis


failure_mode_sensor_analysis

Question: For fan, if bearing damage happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- air leakage
- oil debris
- ultrasound
- compresor pressure/ pressure ratio
- pressure or vacuum
- dissolved gas analysis
- turbine efficiency
- fluid leakage
- pressure (head)
- partial discharge


failure_mode_sensor_analysis

Question: When dealing with bearing damage in fan, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- fuel flow
- pressure or vacuum
- turbine efficiency
- gas generator temperature
- coast down
- oil leakage
- air leakage
- excitation current
- output power
- compressor pressure


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of bearing wear in fan?

Choices:
- fuel pressure
- bushing capacitance
- pressure or vacuum
- oil leakage
- oil condition
- exhaust pressure
- length measurement
- power
- torque
- speed


failure_mode_sensor_analysis

Question: When dealing with bearing wear in fan, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- vibration
- air leakage
- resistance
- cylinder pressure
- power
- current
- voltage
- pressure or vacuum
- oil leakage
- compresor pressure/ pressure ratio


failure_mode_sensor_analysis

Question: For fan, if bearing wear happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- fuel pressure
- temperature
- current
- pressure or vacuum
- cylinder pressure
- power
- torque
- oil leakage
- exhaust pressure
- speed


failure_mode_sensor_analysis

Question: For fan, if bearing wear happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- compressor temperature
- pressure ratio
- coast down time
- oil leakage
- air leakage
- pressure or vacuum
- coast down
- speed
- radio frequency emissions
- axial flux


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of bearing wear in fan?

Choices:
- output power
- power
- bushing capacitance
- excitation current
- oil debris
- air leakage
- oil leakage
- visual
- steam leakage
- speed


failure_mode_sensor_analysis

Question: When dealing with mounting fault in fan, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- torque
- vibration
- oil debris/ contamination
- output power
- oil debris
- oil leakage/ consumption
- power
- exhaust temperature
- speed
- length measurement


failure_mode_sensor_analysis

Question: For fan, if a failure event rotor fouled occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- leak reactance flux
- oil leakage
- ultrasound
- voltage
- gas generator temperature
- air leakage
- oil debris
- pressure or vacuum
- vibration
- power turbine temperature


failure_mode_sensor_analysis

Question: For fan, if unbalance happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- air leakage
- pressure or vacuum
- vibration
- resistance
- coast down time
- pressure (head)
- dissolved gas analysis
- oil debris
- steam leakage
- torque


failure_mode_sensor_analysis

Question: When dealing with misalignment in fan, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- axial flux
- length measurement
- coast down time
- exhaust temperature
- oil debris
- excitation current
- power
- pressure (head)
- visual
- pressure or vacuum


failure_mode_sensor_analysis

Question: In fan, when misalignment occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- coast down time
- dissolved gas analysis
- visual
- oil debris
- vibration
- cooling gas
- exhaust pressure
- voltage
- pressure or vacuum
- air leakage


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of insulation deterioration in asset power transformer?

Choices:
- pressure or vacuum
- noise
- bushing capacitance
- vibration
- amps/ volts/ load
- radio frequency emissions
- speed
- visual
- oil consumption
- oil debris/ contamination


failure_mode_sensor_analysis

Question: When dealing with insulation deterioration in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- vibration
- turbine efficiency
- power turbine temperature
- steam leakage
- oil condition
- pressure (head)
- visual
- leak reactance flux
- pressure ratio
- bushing capacitance


failure_mode_sensor_analysis

Question: When a power transformer has insulation deterioration, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- noise
- exhaust temperature
- air leakage
- compresor pressure/ pressure ratio
- vibration
- temperature
- axial flux
- exhaust pressure
- leak reactance flux
- visual


failure_mode_sensor_analysis

Question: In power transformer, when insulation deterioration occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- oil leakage
- noise
- bushing capacitance
- turbine efficiency
- visual
- partial discharge
- compressor efficiency
- air leakage
- speed
- vibration


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of insulation deterioration in asset power transformer?

Choices:
- visual
- bushing capacitance
- vibration
- electrical phase
- noise
- steam leakage
- dissolved gas analysis
- cooling fluid leak
- angular position
- compresor pressure/ pressure ratio


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of insulation deterioration in power transformer?

Choices:
- vibration
- electrical phase
- bushing capacitance
- noise
- visual
- fluid leakage
- compressor pressure
- ultrasound
- compresor pressure/ pressure ratio
- length


failure_mode_sensor_analysis

Question: In power transformer, when insulation deterioration occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- pressure ratio
- visual
- noise
- electrical phase
- power factor/tanδ
- oil leakage
- pressure (head)
- bushing capacitance
- vibration
- fuel pressure


failure_mode_sensor_analysis

Question: When dealing with insulation deterioration in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- leak reactance flux
- exhaust temperature
- resistance
- efficiency derived
- angular position
- exhaust pressure
- visual
- vibration
- noise
- length


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of insulation deterioration in asset power transformer?

Choices:
- fluid flow
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- vibration
- cylinder pressure
- bushing capacitance
- cooling gas
- axial flux
- air leakage
- leak reactance flux
- visual


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of insulation deterioration in asset power transformer?

Choices:
- gas generator temperature
- fluid leakage
- frequency response analysis (fra)
- steam leakage
- pressure (head)
- vibration
- noise
- oil debris
- visual
- leak reactance flux


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of insulation deterioration in power transformer?

Choices:
- excitation current
- power turbine temperature
- pressure ratio
- axial flux
- fluid flow
- visual
- bushing capacitance
- exhaust temperature
- vibration
- leak reactance flux


failure_mode_sensor_analysis

Question: When dealing with moisture ingress/ content in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- oil debris/ contamination
- frequency response analysis (fra)
- oil condition
- visual
- efficiency derived
- noise
- temperature
- cylinder pressure
- turbine efficiency
- gas generator temperature


failure_mode_sensor_analysis

Question: When dealing with moisture ingress/ content in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- fluid flow
- excitation current
- bushing capacitance
- visual
- engine temperature
- compressor temperature
- amps/ volts/ load
- oil leakage/ consumption
- dissolved gas analysis
- air flow


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of moisture ingress/ content in power transformer?

Choices:
- power factor/tanδ
- steam leakage
- exhaust temperature
- compressor efficiency
- compressor pressure
- vibration
- noise
- cooling fluid leak
- amps/ volts/ load
- bushing capacitance


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of moisture ingress/ content in asset power transformer?

Choices:
- amps/ volts/ load
- leak reactance flux
- bushing capacitance
- compresor pressure/ pressure ratio
- pressure ratio
- oil debris
- exhaust pressure
- excitation current
- oil leakage
- resistance


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of moisture ingress/ content in asset power transformer?

Choices:
- excitation current
- oil pressure
- frequency response analysis (fra)
- partial discharge
- oil debris
- radio frequency emissions
- compresor pressure/ pressure ratio
- air leakage
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- ultrasound


failure_mode_sensor_analysis

Question: For power transformer, if on-load tap-changer condition/ fault happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- coast down time
- amps/ volts/ load
- air leakage
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- fuel flow
- leak reactance flux
- steam leakage
- bushing capacitance
- power factor/tanδ
- pressure (head)


failure_mode_sensor_analysis

Question: For power transformer, if a failure event on-load tap-changer condition/ fault occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- cooling gas
- bushing capacitance
- power turbine temperature
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- oil consumption
- compressor pressure
- oil condition
- compresor pressure/ pressure ratio
- leak reactance flux
- power factor/tanδ


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of on-load tap-changer condition/ fault in asset power transformer?

Choices:
- leak reactance flux
- bushing capacitance
- power factor/tanδ
- air flow
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- compressor pressure
- electrical phase
- cylinder pressure
- compressor efficiency
- temperature


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of on-load tap-changer condition/ fault in asset power transformer?

Choices:
- leak reactance flux
- bushing capacitance
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- cooling fluid leak
- visual
- compressor pressure
- turbine efficiency
- cylinder pressure
- oil leakage/ consumption
- partial discharge


failure_mode_sensor_analysis

Question: When dealing with on-load tap-changer condition/ fault in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- oil leakage/ consumption
- pressure ratio
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- leak reactance flux
- gas generator temperature
- oil debris
- bushing capacitance
- oil leakage
- power factor/tanδ
- dissolved gas analysis


failure_mode_sensor_analysis

Question: For power transformer, if on-load tap-changer condition/ fault happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- power factor/tanδ
- oil debris
- oil leakage
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- bushing capacitance
- cylinder pressure
- noise
- visual
- engine temperature
- power


failure_mode_sensor_analysis

Question: When dealing with on-load tap-changer condition/ fault in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- power
- bushing capacitance
- fluid flow
- visual
- power factor/tanδ
- ultrasound
- fluid leakage
- leak reactance flux
- air leakage
- length


failure_mode_sensor_analysis

Question: In power transformer, when on-load tap-changer condition/ fault occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- visual
- cooling fluid leak
- fuel pressure
- coast down time
- pressure ratio
- bushing capacitance
- vibration
- power factor/tanδ
- torque


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of on-load tap-changer condition/ fault in power transformer?

Choices:
- turbine efficiency
- angular position
- fluid leakage
- oil debris
- gas generator temperature
- resistance
- visual
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- bushing capacitance
- power factor/tanδ


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of on-load tap-changer condition/ fault in power transformer?

Choices:
- visual
- frequency response analysis (fra)
- radio frequency emissions
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- bushing capacitance
- leak reactance flux
- power
- exhaust pressure
- compressor temperature
- pressure or vacuum


failure_mode_sensor_analysis

Question: For power transformer, if on-load tap-changer condition/ fault happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- visual
- power factor/tanδ
- excitation current
- oil debris
- axial flux
- bushing capacitance
- pressure (head)
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- compresor pressure/ pressure ratio
- cooling gas


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of de-energized tap-changer condition/ fault in power transformer?

Choices:
- leak reactance flux
- fuel pressure
- axial flux
- exhaust pressure
- power factor/tanδ
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- fuel flow
- fluid leakage
- amps/ volts/ load
- bushing capacitance


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of de-energized tap-changer condition/ fault in asset power transformer?

Choices:
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- oil condition
- oil debris/ contamination
- bushing capacitance
- visual
- power turbine temperature
- pressure ratio
- turbine efficiency
- length measurement
- power factor/tanδ


failure_mode_sensor_analysis

Question: For power transformer, if a failure event de-energized tap-changer condition/ fault occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- leak reactance flux
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- temperature
- angular position
- air flow
- compresor pressure/ pressure ratio
- air leakage
- power turbine temperature
- bushing capacitance
- visual


failure_mode_sensor_analysis

Question: For power transformer, if de-energized tap-changer condition/ fault happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- leak reactance flux
- partial discharge
- torque
- power factor/tanδ
- bushing capacitance
- visual
- angular position
- electrical phase
- oil debris
- oil leakage/ consumption


failure_mode_sensor_analysis

Question: When dealing with de-energized tap-changer condition/ fault in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- fuel flow
- leak reactance flux
- coast down time
- pressure or vacuum
- dissolved gas analysis
- pressure ratio
- air leakage
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- power factor/tanδ
- visual


failure_mode_sensor_analysis

Question: When dealing with de-energized tap-changer condition/ fault in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- leak reactance flux
- angular position
- bushing capacitance
- visual
- fuel pressure
- cooling gas
- noise
- fuel flow
- power factor/tanδ
- air leakage


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of de-energized tap-changer condition/ fault in asset power transformer?

Choices:
- cooling gas
- bushing capacitance
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- pressure or vacuum
- power turbine temperature
- cooling fluid leak
- leak reactance flux
- power factor/tanδ
- angular position
- ultrasound


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of de-energized tap-changer condition/ fault in asset power transformer?

Choices:
- visual
- air leakage
- power turbine temperature
- bushing capacitance
- pressure or vacuum
- oil leakage/ consumption
- vibration
- compressor temperature
- leak reactance flux
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)


failure_mode_sensor_analysis

Question: When dealing with de-energized tap-changer condition/ fault in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- pressure or vacuum
- bushing capacitance
- pressure ratio
- air flow
- compressor efficiency
- power factor/tanδ
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- leak reactance flux
- resistance
- steam leakage


failure_mode_sensor_analysis

Question: For power transformer, if de-energized tap-changer condition/ fault happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- cooling fluid leak
- compresor pressure/ pressure ratio
- radio frequency emissions
- power factor/tanδ
- frequency response analysis (fra)
- visual
- exhaust pressure
- angular position
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- leak reactance flux


failure_mode_sensor_analysis

Question: When a power transformer has de-energized tap-changer condition/ fault, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- visual
- oil leakage
- excitation current
- compressor temperature
- power factor/tanδ
- bushing capacitance
- pressure ratio
- engine temperature
- efficiency derived
- leak reactance flux


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of oil quality deterioration in power transformer?

Choices:
- efficiency derived
- air leakage
- pressure (head)
- oil condition
- steam leakage
- vibration
- amps/ volts/ load
- frequency response analysis (fra)
- noise
- fuel pressure


failure_mode_sensor_analysis

Question: When dealing with oil quality deterioration in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- amps/ volts/ load
- leak reactance flux
- coast down time
- noise
- exhaust temperature
- resistance
- air leakage
- oil leakage
- compressor efficiency
- dissolved gas analysis


failure_mode_sensor_analysis

Question: When a power transformer has oil quality deterioration, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- pressure ratio
- oil debris/ contamination
- ultrasound
- cylinder pressure
- turbine efficiency
- excitation current
- power factor/tanδ
- frequency response analysis (fra)
- compressor temperature
- resistance


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of oil quality deterioration in asset power transformer?

Choices:
- oil pressure
- fuel flow
- resistance
- coast down time
- power turbine temperature
- frequency response analysis (fra)
- leak reactance flux
- efficiency derived
- excitation current
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)


failure_mode_sensor_analysis

Question: When a power transformer has arcing/ electrical discharge, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- speed
- fuel flow
- frequency response analysis (fra)
- visual
- coast down
- temperature
- leak reactance flux
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- cooling fluid leak
- pressure ratio


failure_mode_sensor_analysis

Question: When a power transformer has arcing/ electrical discharge, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- length measurement
- oil condition
- engine temperature
- fuel flow
- fluid flow
- frequency response analysis (fra)
- pressure or vacuum
- bushing capacitance
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- amps/ volts/ load


failure_mode_sensor_analysis

Question: When dealing with arcing/ electrical discharge in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- bushing capacitance
- air flow
- cooling gas
- partial discharge
- radio frequency emissions
- excitation current
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- electrical phase
- vibration
- efficiency derived


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of arcing/ electrical discharge in asset power transformer?

Choices:
- pressure (head)
- dissolved gas analysis
- leak reactance flux
- cooling fluid leak
- excitation current
- cooling gas
- gas generator temperature
- compressor pressure
- frequency response analysis (fra)
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)


failure_mode_sensor_analysis

Question: For power transformer, if a failure event arcing/ electrical discharge occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- noise
- oil leakage
- oil consumption
- amps/ volts/ load
- compressor efficiency
- length
- temperature
- bushing capacitance
- efficiency derived
- leak reactance flux


failure_mode_sensor_analysis

Question: For power transformer, if a failure event arcing/ electrical discharge occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- radio frequency emissions
- ultrasound
- excitation current
- leak reactance flux
- cooling fluid leak
- length measurement
- bushing capacitance
- coast down
- air flow
- temperature


failure_mode_sensor_analysis

Question: For power transformer, if arcing/ electrical discharge happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- resistance
- exhaust pressure
- frequency response analysis (fra)
- bushing capacitance
- vibration
- exhaust temperature
- cooling fluid leak
- compressor efficiency
- torque
- power factor/tanδ


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of connection/ bushing faults in power transformer?

Choices:
- gas generator temperature
- axial flux
- length measurement
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- excitation current
- fuel flow
- amps/ volts/ load
- temperature
- pressure (head)
- visual


failure_mode_sensor_analysis

Question: In power transformer, when connection/ bushing faults occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- amps/ volts/ load
- pressure or vacuum
- speed
- pressure ratio
- oil pressure
- frequency response analysis (fra)
- visual
- excitation current
- axial flux
- partial discharge


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of connection/ bushing faults in asset power transformer?

Choices:
- angular position
- leak reactance flux
- electrical phase
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- oil pressure
- dissolved gas analysis
- frequency response analysis (fra)
- pressure ratio
- excitation current
- oil leakage/ consumption


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of connection/ bushing faults in asset power transformer?

Choices:
- oil consumption
- noise
- radio frequency emissions
- visual
- speed
- oil condition
- oil leakage
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- pressure ratio
- excitation current


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of connection/ bushing faults in power transformer?

Choices:
- leak reactance flux
- compressor temperature
- steam leakage
- excitation current
- ultrasound
- pressure ratio
- power turbine temperature
- turbine efficiency
- visual
- oil condition


failure_mode_sensor_analysis

Question: When dealing with connection/ bushing faults in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- speed
- visual
- compressor temperature
- fluid flow
- power factor/tanδ
- excitation current
- cylinder pressure
- leak reactance flux
- amps/ volts/ load
- oil debris


failure_mode_sensor_analysis

Question: In power transformer, when connection/ bushing faults occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- excitation current
- air flow
- vibration
- air leakage
- compressor temperature
- pressure ratio
- resistance
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- fluid leakage
- oil condition


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of connection/ bushing faults in asset power transformer?

Choices:
- fuel pressure
- coast down
- bushing capacitance
- oil debris
- leak reactance flux
- vibration
- frequency response analysis (fra)
- axial flux
- oil condition
- turbine efficiency


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of overheating/ auxiliary cooling system fault in asset power transformer?

Choices:
- visual
- oil leakage
- partial discharge
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- radio frequency emissions
- vibration
- torque
- power factor/tanδ
- efficiency derived
- electrical phase


failure_mode_sensor_analysis

Question: When dealing with overheating/ auxiliary cooling system fault in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- gas generator temperature
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- partial discharge
- noise
- turbine efficiency
- oil leakage
- pressure ratio
- fluid flow
- oil condition
- vibration


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of overheating/ auxiliary cooling system fault in asset power transformer?

Choices:
- excitation current
- resistance
- compressor pressure
- oil debris
- oil consumption
- partial discharge
- temperature
- power factor/tanδ
- speed
- axial flux


failure_mode_sensor_analysis

Question: When dealing with overheating/ auxiliary cooling system fault in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- angular position
- noise
- fuel pressure
- resistance
- frequency response analysis (fra)
- compressor efficiency
- dissolved gas analysis
- excitation current
- steam leakage
- compressor pressure


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of overheating/ auxiliary cooling system fault in asset power transformer?

Choices:
- noise
- oil leakage
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- power factor/tanδ
- ultrasound
- pressure (head)
- exhaust temperature
- frequency response analysis (fra)
- radio frequency emissions
- oil leakage/ consumption


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of low oil level in asset power transformer?

Choices:
- compressor pressure
- visual
- compressor temperature
- cooling fluid leak
- engine temperature
- excitation current
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- coast down
- power factor/tanδ
- leak reactance flux


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of low oil level in asset power transformer?

Choices:
- coast down time
- resistance
- oil leakage
- bushing capacitance
- angular position
- excitation current
- oil leakage/ consumption
- air flow
- leak reactance flux
- oil condition


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of low oil level in power transformer?

Choices:
- bushing capacitance
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- radio frequency emissions
- temperature
- resistance
- leak reactance flux
- axial flux
- cooling fluid leak
- air leakage
- compressor efficiency


failure_mode_sensor_analysis

Question: When a power transformer has low oil level, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- vibration
- coast down
- axial flux
- bushing capacitance
- steam leakage
- power factor/tanδ
- speed
- pressure (head)
- partial discharge
- dissolved gas analysis


failure_mode_sensor_analysis

Question: Which sensor out of the choices provides the strongest indication of low oil level in power transformer?

Choices:
- excitation current
- noise
- length
- amps/ volts/ load
- compressor efficiency
- vibration
- axial flux
- air leakage
- efficiency derived
- bushing capacitance


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of low oil level in asset power transformer?

Choices:
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- angular position
- power factor/tanδ
- resistance
- turbine efficiency
- fluid flow
- bushing capacitance
- ultrasound
- exhaust temperature
- power


failure_mode_sensor_analysis

Question: For power transformer, if a failure event oil circulation system problem occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- leak reactance flux
- angular position
- power turbine temperature
- turbine efficiency
- power factor/tanδ
- partial discharge
- excitation current
- visual
- cooling gas
- gas generator temperature


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of oil circulation system problem in asset power transformer?

Choices:
- compressor temperature
- noise
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- oil condition
- frequency response analysis (fra)
- pressure or vacuum
- air leakage
- turbine efficiency
- resistance
- fuel flow


failure_mode_sensor_analysis

Question: For power transformer, if a failure event oil circulation system problem occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- fuel flow
- cylinder pressure
- excitation current
- pressure or vacuum
- resistance
- power factor/tanδ
- temperature
- power turbine temperature
- amps/ volts/ load
- gas generator temperature


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of oil circulation system problem in asset power transformer?

Choices:
- bushing capacitance
- fluid flow
- amps/ volts/ load
- compressor pressure
- angular position
- dissolved gas analysis
- air leakage
- cylinder pressure
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- ultrasound


failure_mode_sensor_analysis

Question: For power transformer, if winding distortion happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- exhaust pressure
- resistance
- length
- ultrasound
- excitation current
- bushing capacitance
- oil consumption
- vibration
- fluid leakage
- compressor temperature


failure_mode_sensor_analysis

Question: In power transformer, when winding distortion occurs, which sensor from the choices is most critical in detecting the occurrence of the failure event?

Choices:
- oil debris/ contamination
- fuel flow
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- fluid flow
- resistance
- oil condition
- noise
- oil pressure
- cylinder pressure
- temperature


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of winding distortion in asset power transformer?

Choices:
- pressure (head)
- gas generator temperature
- compressor temperature
- vibration
- frequency response analysis (fra)
- oil pressure
- angular position
- visual
- bushing capacitance
- excitation current


failure_mode_sensor_analysis

Question: For power transformer, if a failure event winding distortion occurs, which sensor out of the choices is the most relevant sensor regarding the occurrence of the failure event?

Choices:
- fuel flow
- steam leakage
- resistance
- power factor/tanδ
- dissolved gas analysis
- leak reactance flux
- axial flux
- noise
- compressor pressure
- fluid leakage


failure_mode_sensor_analysis

Question: When dealing with winding looseness in power transformer, which sensor among the choices has the highest relevance in detecting this issue?

Choices:
- engine temperature
- leak reactance flux
- exhaust temperature
- efficiency derived
- oil pressure
- visual
- compressor temperature
- noise
- dissolved gas analysis
- frequency response analysis (fra)


failure_mode_sensor_analysis

Question: For power transformer, if winding looseness happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- turbine efficiency
- length
- ultrasound
- cooling gas
- frequency response analysis (fra)
- oil debris/ contamination
- visual
- oil condition
- power


failure_mode_sensor_analysis

Question: When a power transformer has winding looseness, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- vibration
- amps/ volts/ load
- torque
- power
- turbine efficiency
- cylinder pressure
- partial discharge
- pressure or vacuum
- resistance
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)


failure_mode_sensor_analysis

Question: For power transformer, if core looseness happens, which sensor should be prioritized for monitoring this specific failure?

Choices:
- dissolved gas analysis
- leak reactance flux
- cooling gas
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- noise
- power factor/tanδ
- engine temperature
- length measurement
- coast down
- fuel flow


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of core looseness in asset power transformer?

Choices:
- oil debris/ contamination
- visual
- compressor pressure
- power factor/tanδ
- leak reactance flux
- oil pressure
- temperature
- fluid flow
- ultrasound
- compressor efficiency


failure_mode_sensor_analysis

Question: Which sensor out of the choices can indicate the presence of core looseness in asset power transformer?

Choices:
- frequency response analysis (fra)
- oil pressure
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- leak reactance flux
- fluid leakage
- fuel flow
- vibration
- compressor efficiency
- power factor/tanδ
- oil consumption


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of oil leak in asset power transformer?

Choices:
- electrical phase
- frequency response analysis (fra)
- fuel pressure
- length
- radio frequency emissions
- leak reactance flux
- visual
- torque
- partial discharge
- dissolved gas analysis


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of external damage/ disturbance in asset power transformer?

Choices:
- oil debris/ contamination
- noise
- power turbine temperature
- leak reactance flux
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- engine temperature
- visual
- efficiency derived
- electrical phase
- excitation current


failure_mode_sensor_analysis

Question: Which sensor among the choices best correlates with the presence of through fault e.g. lightning strike in asset power transformer?

Choices:
- partial discharge
- noise
- axial flux
- fluid flow
- temperature
- cooling fluid leak
- excitation current
- power factor/tanδ
- fuel pressure
- torque


failure_mode_sensor_analysis

Question: When a power transformer has through fault e.g. lightning strike, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- turbine efficiency
- partial discharge
- excitation current
- pressure (head)
- exhaust temperature
- length
- temperature
- frequency response analysis (fra)
- fluid leakage
- amps/ volts/ load


failure_mode_sensor_analysis

Question: When a power transformer has supply faults, e.g. excessive harmonics and over fluxing, which sensor out of the choices should be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- torque
- oil pressure
- resistance
- partial discharge
- bushing capacitance
- amps/ volts/ load
- oil leakage
- pressure ratio
- oil condition
- power


failure_mode_sensor_analysis

Question: For electric motor, which failure mode is pertinent if current registers abnormal readings?

Choices:
- slippage
- insufficient power
- internal leakage process medium
- internal leakage
- rotor windings fault
- failure to function on demand
- unbalance
- misalignment
- well-to-control-line communication
- low oil supply pressure


failure_mode_sensor_analysis

Question: In electric motor, which failure mode is most important if current shows abnormal readings?

Choices:
- faulty output voltage
- stator windings fault
- unbalance
- misalignment
- minor in-service problems
- external leakage - fuel
- vibration
- control/ signal failure
- external leakage — utility medium
- failure to function as intended


failure_mode_sensor_analysis

Question: What is the most relevant failure mode for electric motor if current exhibits abnormal readings?

Choices:
- eccentric rotor fault
- misalignment
- failure to rotate
- stuck
- unbalance
- erratic output
- failure in lightning protection system
- power/signal transmission failure
- leakage in closed position
- external leakage — utility medium


failure_mode_sensor_analysis

Question: In the context of electric motor, which failure mode is most relevant when current shows abnormal readings?

Choices:
- internal leakage process medium
- brush(es) fault
- failure while running
- insufficient heat transfer
- external leakage - utility medium
- failure to connect
- failure to open on demand
- unbalance
- misalignment
- internal leakage


failure_mode_sensor_analysis

Question: In electric motor, which failure mode is most important if current shows abnormal readings?

Choices:
- plugged/ choked
- stuck
- internal leakage - process medium
- unbalance
- bearing damage
- noise
- structural deficiency
- no output
- misalignment
- faulty output frequency


failure_mode_sensor_analysis

Question: For electric motor, what is the key failure mode when current has abnormal readings?

Choices:
- failure to disconnect
- failure to stop on demand
- misalignment
- failure to start on demand
- unbalance
- external leakage - process medium
- control-line-to-well communication
- failure in lightning protection system
- internal leakage - process medium
- insulation deterioration


failure_mode_sensor_analysis

Question: When current in electric motor displays abnormal readings, which failure mode is the most applicable?

Choices:
- spurious low alarm level
- failure to open on demand
- unbalance
- failure to rotate
- heating failure
- misalignment
- very low output
- breakdown
- minor in-service problems
- loss of input power phase


failure_mode_sensor_analysis

Question: If voltage in electric motor shows abnormal readings, which failure mode is most significant?

Choices:
- premature closure
- rotor windings fault
- insufficient heat transfer
- bearing damage
- brush(es) fault
- spurious high alarm level
- unbalance
- eccentric rotor fault
- failure to open on demand
- plugged/ choked


failure_mode_sensor_analysis

Question: For electric motor, which failure mode is pertinent if voltage registers abnormal readings?

Choices:
- control-line-to-well communication
- bearing damage
- internal leakage
- stator windings fault
- eccentric rotor fault
- control / signal failure
- unbalance
- insufficient heat transfer
- insulation deterioration
- failure to close on demand


failure_mode_sensor_analysis

Question: In the context of electric motor, which failure mode is most relevant when voltage shows abnormal readings?

Choices:
- stuck
- eccentric rotor fault
- misalignment
- failure in lightning protection system
- bearing damage
- loss of input power phase
- failure to start on demand
- power/signal transmission failure
- unbalance
- external leakage — utility medium


failure_mode_sensor_analysis

Question: When resistance detects abnormal readings in electric motor, which failure mode is the most relevant?

Choices:
- structural deficiency
- failure while running
- misalignment
- insulation deterioration
- unbalance
- stator windings fault
- loss of input power phase
- very low output
- noise
- high output


failure_mode_sensor_analysis

Question: What is the most relevant failure mode for electric motor if partial discharge exhibits abnormal readings?

Choices:
- failure to disconnect
- insulation deterioration
- spurious low alarm level
- rotor windings fault
- loss of input power phase
- failure to open on demand
- failure to connect
- bearing damage
- premature closure
- unbalance


failure_mode_sensor_analysis

Question: When power in electric motor displays abnormal readings, which failure mode is the most applicable?

Choices:
- insulation deterioration
- stator windings fault
- low output
- external leakage utility medium
- overheating
- rotor windings fault
- control / signal failure
- unbalance
- bearing damage
- failure to connect


failure_mode_sensor_analysis

Question: What is the most relevant failure mode for electric motor if power exhibits abnormal readings?

Choices:
- brush(es) fault
- external leakage utility medium
- stator windings fault
- noise
- insulation deterioration
- eccentric rotor fault
- failure in lightning protection system
- faulty output voltage
- unbalance
- loss of buoyancy


failure_mode_sensor_analysis

Question: In the context of electric motor, which failure mode is most relevant when torque shows abnormal readings?

Choices:
- no output
- rotor windings fault
- unbalance
- failure to connect
- external leakage - process medium
- loss of buoyancy
- eccentric rotor fault
- loss of input power phase
- external leakage process medium
- insulation deterioration


failure_mode_sensor_analysis

Question: When torque in electric motor displays abnormal readings, which failure mode is the most applicable?

Choices:
- internal leakage process medium
- stator windings fault
- premature closure
- no output
- eccentric rotor fault
- vibration
- insulation deterioration
- high output
- misalignment
- brush(es) fault


failure_mode_sensor_analysis

Question: What is the most relevant failure mode for electric motor if torque exhibits abnormal readings?

Choices:
- leakage in closed position
- eccentric rotor fault
- breakdown
- insulation deterioration
- unbalance
- misalignment
- minor in-service problems
- bearing damage
- faulty output voltage
- no output


failure_mode_sensor_analysis

Question: For electric motor, which failure mode is pertinent if speed registers abnormal readings?

Choices:
- failure to open on demand
- noise
- failure to start on demand
- insulation deterioration
- failure to function on demand
- erratic output
- misalignment
- loss of input power phase
- brush(es) fault
- rotor windings fault


failure_mode_sensor_analysis

Question: Which failure mode is most relevant for electric motor if there are abnormal readings from vibration?

Choices:
- brush(es) fault
- external leakage - fuel
- internal leakage - process medium
- global buckling
- insulation deterioration
- stuck
- faulty output voltage
- rotor windings fault
- failure to connect
- external leakage — utility medium


failure_mode_sensor_analysis

Question: If vibration in electric motor shows abnormal readings, which failure mode is most significant?

Choices:
- stator windings fault
- control / signal failure
- noise
- internal leakage - utility medium
- brush(es) fault
- external leakage utility medium
- internal leakage process medium
- plugged/ choked
- failure to start on demand
- insulation deterioration


failure_mode_sensor_analysis

Question: When vibration detects abnormal readings in electric motor, which failure mode is the most relevant?

Choices:
- external leakage - fuel
- brush(es) fault
- faulty output voltage
- insulation deterioration
- leakage in closed position
- stuck
- eccentric rotor fault
- internal leakage process medium
- failure to set/retrieve
- loss of buoyancy


failure_mode_sensor_analysis

Question: Which failure mode is most relevant for electric motor if there are abnormal readings from vibration?

Choices:
- brush(es) fault
- failure to disconnect
- bearing damage
- low output
- external leakage - utility medium
- premature closure
- insulation deterioration
- insufficient power
- leakage in closed position
- heating failure


failure_mode_sensor_analysis

Question: For electric motor, what is the key failure mode when vibration has abnormal readings?

Choices:
- delayed operation
- external leakage — utility medium
- brush(es) fault
- control-line-to-well communication
- insulation deterioration
- structural deficiency
- loss of input power phase
- low oil supply pressure
- external leakage utility medium
- no output


failure_mode_sensor_analysis

Question: When vibration in electric motor displays abnormal readings, which failure mode is the most applicable?

Choices:
- failure while running
- control-line-to-well communication
- high output
- brush(es) fault
- structural deficiency
- insulation deterioration
- no output
- failure to disconnect
- external leakage — utility medium
- unbalance


failure_mode_sensor_analysis

Question: If vibration in electric motor shows abnormal readings, which failure mode is most significant?

Choices:
- noise
- external leakage - process medium
- brush(es) fault
- misalignment
- erratic output
- control/ signal failure
- leakage in closed position
- breakdown
- abnormal instrument reading
- insulation deterioration


failure_mode_sensor_analysis

Question: For electric motor, what is the key failure mode when temperature has abnormal readings?

Choices:
- unbalance
- insulation deterioration
- failure to disconnect
- misalignment
- rotor windings fault
- high output
- minor in-service problems
- erratic output
- loss of input power phase
- slippage


failure_mode_sensor_analysis

Question: For electric motor, which failure mode is pertinent if temperature registers abnormal readings?

Choices:
- misalignment
- failure to set/retrieve
- loss of input power phase
- eccentric rotor fault
- stator windings fault
- very low output
- delayed operation
- low oil supply pressure
- failure to open on demand
- unbalance


failure_mode_sensor_analysis

Question: What is the most relevant failure mode for electric motor if temperature exhibits abnormal readings?

Choices:
- failure to connect
- misalignment
- internal leakage - process medium
- loss of input power phase
- unbalance
- eccentric rotor fault
- internal leakage process medium
- sludge build-up
- brush(es) fault
- power/signal transmission failure


failure_mode_sensor_analysis

Question: In electric motor, which failure mode is most important if temperature shows abnormal readings?

Choices:
- insulation deterioration
- bearing damage
- failure to close on demand
- failure to cut
- power/signal transmission failure
- control/ signal failure
- eccentric rotor fault
- mooring failure
- unbalance
- loss of input power phase


failure_mode_sensor_analysis

Question: In the context of electric motor, which failure mode is most relevant when coast down time shows abnormal readings?

Choices:
- plugged/ choked
- stuck
- eccentric rotor fault
- mooring failure
- insulation deterioration
- bearing damage
- external leakage — utility medium
- stator windings fault
- loss of input power phase
- overheating


failure_mode_sensor_analysis

Question: When axial flux in electric motor displays abnormal readings, which failure mode is the most applicable?

Choices:
- slippage
- misalignment
- low output
- failure to close on demand
- unbalance
- brush(es) fault
- control-line-to-well communication
- spurious high alarm level
- rotor windings fault
- bearing damage


failure_mode_sensor_analysis

Question: What is the most relevant failure mode for electric motor if axial flux exhibits abnormal readings?

Choices:
- bearing damage
- insulation deterioration
- faulty output frequency
- brush(es) fault
- failure to start on demand
- stator windings fault
- heating failure
- load drop
- unbalance
- delayed operation


failure_mode_sensor_analysis

Question: What is the most relevant failure mode for electric motor if axial flux exhibits abnormal readings?

Choices:
- plugged/ choked
- bearing damage
- faulty output frequency
- internal leakage - process medium
- internal leakage utility medium
- control / signal failure
- misalignment
- brush(es) fault
- insulation deterioration
- eccentric rotor fault


failure_mode_sensor_analysis

Question: When axial flux detects abnormal readings in electric motor, which failure mode is the most relevant?

Choices:
- failure to close on demand
- mooring failure
- brush(es) fault
- unbalance
- loss of input power phase
- failure to set/retrieve
- bearing damage
- overheating
- plugged/ choked
- misalignment


failure_mode_sensor_analysis

Question: In the context of electric motor, which failure mode is most relevant when oil debris shows abnormal readings?

Choices:
- bearing damage
- control-line-to-well communication
- rotor windings fault
- control / signal failure
- stator windings fault
- faulty output voltage
- unbalance
- brush(es) fault
- failure to cut
- minor in-service problems


failure_mode_sensor_analysis

Question: For electric motor, which failure mode is pertinent if cooling gas registers abnormal readings?

Choices:
- high output
- misalignment
- rotor windings fault
- spurious stop
- spurious operation
- bearing damage
- low oil supply pressure
- eccentric rotor fault
- brush(es) fault
- failure to connect


failure_mode_sensor_analysis

Question: When cooling gas detects abnormal readings in electric motor, which failure mode is the most relevant?

Choices:
- internal leakage
- spurious operation
- brush(es) fault
- noise
- misalignment
- stator windings fault
- loss of input power phase
- external leakage process medium
- abnormal instrument reading
- bearing damage


failure_mode_sensor_analysis

Question: What is the most relevant failure mode for electric motor if cooling gas exhibits abnormal readings?

Choices:
- failure to rotate
- misalignment
- insufficient power
- loss of input power phase
- eccentric rotor fault
- noise
- loss of buoyancy
- abnormal instrument reading
- insulation deterioration
- unbalance


failure_mode_sensor_analysis

Question: When steam leakage detects abnormal readings in steam turbine, which failure mode is the most relevant?

Choices:
- high output
- global buckling
- external leakage utility medium
- stuck
- failure to regulate
- damaged rotor blade
- unbalance
- bearing damage
- misalignment
- failure to function as intended


failure_mode_sensor_analysis

Question: For steam turbine, which failure mode is pertinent if steam leakage registers abnormal readings?

Choices:
- misalignment
- unbalance
- slippage
- premature closure
- bearing damage
- damaged labyrinth
- minor in-service problems
- global buckling
- failure to function as intended
- faulty output voltage


failure_mode_sensor_analysis

Question: Which failure mode should be considered for steam turbine when abnormal readings is detected by steam leakage?

Choices:
- failure to lock/unlock
- eccentric rotor
- leakage in closed position
- unbalance
- noise
- misalignment
- bearing damage
- spurious high alarm level
- minor in-service problems
- very low output


failure_mode_sensor_analysis

Question: When steam leakage in steam turbine displays abnormal readings, which failure mode is the most applicable?

Choices:
- mooring failure
- bearing damage
- misalignment
- failure to disconnect
- failure to cut
- internal leakage - process medium
- spurious stop
- unbalance
- bearing wear
- spurious high alarm level


failure_mode_sensor_analysis

Question: Which failure mode should be considered for steam turbine when abnormal readings is detected by steam leakage?

Choices:
- loss of buoyancy
- failure to disconnect
- abnormal instrument reading
- unbalance
- well-to-control-line communication
- failure to close on demand
- overheating
- misalignment
- hogging or sagging rotor
- bearing damage


failure_mode_sensor_analysis

Question: Which failure mode should be considered for steam turbine when abnormal readings is detected by steam leakage?

Choices:
- spurious operation
- misalignment
- unbalance
- low output
- failure to open on demand
- insufficient heat transfer
- failure to rotate
- bearing damage
- delayed operation
- unequal expansion


failure_mode_sensor_analysis

Question: In the context of steam turbine, which failure mode is most relevant when length measurement shows abnormal readings?

Choices:
- hogging or sagging rotor
- unbalance
- power/signal transmission failure
- external leakage — utility medium
- insufficient power
- heating failure
- bearing damage
- eccentric rotor
- erratic output
- damaged labyrinth


failure_mode_sensor_analysis

Question: In the context of steam turbine, which failure mode is most relevant when length measurement shows abnormal readings?

Choices:
- bearing wear
- damaged labyrinth
- no output
- hogging or sagging rotor
- eccentric rotor
- low output
- vibration
- damaged rotor blade
- delayed operation
- high output


failure_mode_sensor_analysis

Question: For steam turbine, which failure mode is pertinent if length measurement registers abnormal readings?

Choices:
- failure to disconnect
- failure to close on demand
- internal leakage - utility medium
- internal leakage - process medium
- hogging or sagging rotor
- external leakage - fuel
- unequal expansion
- damaged rotor blade
- damaged labyrinth
- misalignment


failure_mode_sensor_analysis

Question: In the context of steam turbine, which failure mode is most relevant when power shows abnormal readings?

Choices:
- vibration
- breakdown
- external leakage — utility medium
- noise
- hogging or sagging rotor
- bearing wear
- unequal expansion
- damaged rotor blade
- failure to function as intended
- unbalance


failure_mode_sensor_analysis

Question: When power in steam turbine displays abnormal readings, which failure mode is the most applicable?

Choices:
- failure to rotate
- unbalance
- low output
- hogging or sagging rotor
- failure to open on demand
- bearing wear
- misalignment
- damaged labyrinth
- minor in-service problems
- structural deficiency


failure_mode_sensor_analysis

Question: Which failure mode should be considered for steam turbine when abnormal readings is detected by power?

Choices:
- mooring failure
- bearing damage
- failure to start on demand
- heating failure
- unbalance
- minor in-service problems
- spurious high alarm level
- misalignment
- eccentric rotor
- bearing wear