failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of eccentric impeller in fan?

Choices:
- speed
- angular position
- coast down time
- power
- vibration
- oil debris/ contamination
- oil debris
- current
- fluid leakage
- pressure ratio


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting eccentric impeller in fan?

Choices:
- coast down
- efficiency derived
- amps/ volts/ load
- coast down time
- pressure or vacuum
- temperature
- turbine efficiency
- oil leakage
- speed
- compressor efficiency


failure_mode_sensor_analysis

Question: For fan, if bearing damage occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- cooling gas
- leak reactance flux
- temperature
- coast down time
- oil leakage
- axial flux
- air leakage
- bushing capacitance
- length
- vibration


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of bearing damage in fan?

Choices:
- fluid flow
- temperature
- exhaust temperature
- electrical phase
- oil debris
- vibration
- speed
- cylinder pressure
- pressure or vacuum
- length


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of bearing wear in asset fan?

Choices:
- oil debris
- temperature
- air leakage
- leak reactance flux
- efficiency derived
- length measurement
- resistance
- coast down time
- oil leakage/ consumption
- output power


failure_mode_sensor_analysis

Question: In fan, which sensor among the choices is least useful for detecting bearing wear?

Choices:
- oil debris
- power
- temperature
- oil debris/ contamination
- efficiency derived
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- vibration
- leak reactance flux
- coast down time
- fuel flow


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of bearing wear in asset fan?

Choices:
- cylinder pressure
- compressor pressure
- dissolved gas analysis
- length measurement
- current
- output power
- coast down time
- pressure or vacuum
- oil debris
- temperature


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting bearing wear in fan?

Choices:
- steam leakage
- bushing capacitance
- oil debris
- turbine efficiency
- current
- compressor efficiency
- coast down time
- temperature
- vibration
- speed


failure_mode_sensor_analysis

Question: For fan, if a failure event bearing wear occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- exhaust temperature
- oil leakage/ consumption
- vibration
- coast down time
- length measurement
- power factor
- oil debris
- oil leakage
- visual
- dissolved gas analysis


failure_mode_sensor_analysis

Question: When a fan has mounting fault, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- air leakage
- compressor pressure
- resistance
- vibration
- leak reactance flux
- electrical phase
- output power
- oil condition
- fluid flow
- exhaust pressure


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting mounting fault in fan?

Choices:
- vibration
- fuel pressure
- cooling fluid leak
- compressor pressure
- length measurement
- leak reactance flux
- fluid leakage
- gas generator temperature
- radio frequency emissions
- fuel flow


failure_mode_sensor_analysis

Question: For fan, if mounting fault occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- output power
- frequency response analysis (fra)
- power
- compressor pressure
- vibration
- efficiency derived
- angular position
- coast down
- oil leakage/ consumption
- power turbine temperature


failure_mode_sensor_analysis

Question: When a fan has mounting fault, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- pressure or vacuum
- bushing capacitance
- voltage
- angular position
- dissolved gas analysis
- fuel pressure
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- exhaust pressure
- vibration
- oil leakage/ consumption


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of mounting fault in fan?

Choices:
- power factor
- axial flux
- cooling gas
- compressor efficiency
- fuel pressure
- pressure (head)
- leak reactance flux
- speed
- gas generator temperature
- vibration


failure_mode_sensor_analysis

Question: When considering mounting fault in fan, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- axial flux
- pressure (head)
- length
- vibration
- partial discharge
- temperature
- cooling fluid leak
- resistance
- torque
- compressor efficiency


failure_mode_sensor_analysis

Question: In fan, which sensor among the choices is least useful for detecting mounting fault?

Choices:
- coast down time
- exhaust pressure
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- gas generator temperature
- compressor pressure
- frequency response analysis (fra)
- voltage
- compressor efficiency
- vibration
- cylinder pressure


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of mounting fault in fan?

Choices:
- coast down
- cylinder pressure
- oil debris
- exhaust temperature
- vibration
- fuel pressure
- partial discharge
- amps/ volts/ load
- oil condition
- radio frequency emissions


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of mounting fault in fan?

Choices:
- length
- angular position
- engine temperature
- oil leakage/ consumption
- voltage
- oil leakage
- vibration
- turbine efficiency
- compressor temperature
- power factor


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of rotor fouled in asset fan?

Choices:
- axial flux
- air leakage
- amps/ volts/ load
- current
- frequency response analysis (fra)
- fluid leakage
- cooling gas
- vibration
- cylinder pressure
- torque


failure_mode_sensor_analysis

Question: When a fan has rotor fouled, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- steam leakage
- electrical phase
- length measurement
- length
- coast down
- vibration
- torque
- dissolved gas analysis
- fuel pressure
- gas generator temperature


failure_mode_sensor_analysis

Question: For fan, if rotor fouled occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- engine temperature
- turbine efficiency
- steam leakage
- exhaust pressure
- compressor efficiency
- power
- dissolved gas analysis
- vibration
- fuel flow
- power turbine temperature


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of rotor fouled in fan?

Choices:
- fluid flow
- cooling fluid leak
- axial flux
- vibration
- frequency response analysis (fra)
- engine temperature
- pressure or vacuum
- partial discharge
- angular position
- output power


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of rotor fouled in fan?

Choices:
- compressor efficiency
- vibration
- excitation current
- compressor temperature
- engine temperature
- speed
- cooling gas
- fuel pressure
- amps/ volts/ load
- power factor


failure_mode_sensor_analysis

Question: In fan, which sensor among the choices is least useful for detecting rotor fouled?

Choices:
- oil debris/ contamination
- current
- compressor efficiency
- fluid leakage
- temperature
- amps/ volts/ load
- fuel pressure
- visual
- vibration
- power turbine temperature


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of rotor fouled in asset fan?

Choices:
- partial discharge
- output power
- radio frequency emissions
- resistance
- compressor pressure
- oil debris/ contamination
- coast down time
- vibration
- pressure (head)
- engine temperature


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of rotor fouled in fan?

Choices:
- gas generator temperature
- compressor pressure
- turbine efficiency
- output power
- axial flux
- dissolved gas analysis
- power factor
- electrical phase
- oil debris
- vibration


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of rotor fouled in fan?

Choices:
- amps/ volts/ load
- oil leakage
- compresor pressure/ pressure ratio
- vibration
- pressure (head)
- voltage
- length
- electrical phase
- radio frequency emissions
- fluid leakage


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of unbalance in fan?

Choices:
- coast down
- dissolved gas analysis
- current
- partial discharge
- air leakage
- oil leakage/ consumption
- cooling gas
- frequency response analysis (fra)
- pressure (head)
- vibration


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting unbalance in fan?

Choices:
- vibration
- current
- efficiency derived
- length measurement
- cooling gas
- radio frequency emissions
- fuel flow
- oil debris/ contamination
- oil condition
- power turbine temperature


failure_mode_sensor_analysis

Question: In fan, which sensor among the choices is least useful for detecting unbalance?

Choices:
- vibration
- power
- compressor pressure
- fluid leakage
- engine temperature
- torque
- resistance
- gas generator temperature
- partial discharge
- leak reactance flux


failure_mode_sensor_analysis

Question: When considering unbalance in fan, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- angular position
- pressure or vacuum
- bushing capacitance
- turbine efficiency
- compresor pressure/ pressure ratio
- pressure ratio
- dissolved gas analysis
- exhaust temperature
- power factor
- vibration


failure_mode_sensor_analysis

Question: When considering unbalance in fan, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- speed
- dissolved gas analysis
- compressor pressure
- steam leakage
- vibration
- output power
- bushing capacitance
- amps/ volts/ load
- fluid leakage
- compressor efficiency


failure_mode_sensor_analysis

Question: For fan, if unbalance occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- temperature
- visual
- axial flux
- voltage
- oil leakage/ consumption
- torque
- vibration
- cooling fluid leak
- cooling gas
- pressure ratio


failure_mode_sensor_analysis

Question: In fan, which sensor among the choices is least useful for detecting unbalance?

Choices:
- torque
- coast down time
- exhaust pressure
- pressure ratio
- compresor pressure/ pressure ratio
- vibration
- oil debris/ contamination
- amps/ volts/ load
- axial flux
- frequency response analysis (fra)


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting unbalance in fan?

Choices:
- cooling gas
- oil leakage/ consumption
- bushing capacitance
- oil debris/ contamination
- oil debris
- turbine efficiency
- fluid flow
- visual
- vibration
- compressor temperature


failure_mode_sensor_analysis

Question: For fan, if unbalance occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- oil leakage
- pressure (head)
- pressure ratio
- resistance
- electrical phase
- length
- efficiency derived
- exhaust pressure
- frequency response analysis (fra)
- vibration


failure_mode_sensor_analysis

Question: When considering misalignment in fan, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- air leakage
- pressure (head)
- fluid flow
- oil condition
- length measurement
- current
- vibration
- power factor
- turbine efficiency
- fuel flow


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of misalignment in fan?

Choices:
- fluid leakage
- length measurement
- torque
- pressure ratio
- power
- vibration
- radio frequency emissions
- coast down
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- oil debris/ contamination


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting misalignment in fan?

Choices:
- resistance
- exhaust pressure
- oil debris/ contamination
- current
- length measurement
- visual
- pressure or vacuum
- vibration
- oil condition
- fluid flow


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting misalignment in fan?

Choices:
- coast down
- cylinder pressure
- engine temperature
- voltage
- leak reactance flux
- oil leakage/ consumption
- visual
- speed
- length measurement
- vibration


failure_mode_sensor_analysis

Question: In fan, which sensor among the choices is least useful for detecting misalignment?

Choices:
- voltage
- power turbine temperature
- exhaust temperature
- leak reactance flux
- fluid flow
- visual
- length measurement
- output power
- temperature
- vibration


failure_mode_sensor_analysis

Question: For fan, if a failure event misalignment occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- dissolved gas analysis
- coast down
- output power
- coast down time
- leak reactance flux
- oil debris/ contamination
- vibration
- engine temperature
- length measurement
- current


failure_mode_sensor_analysis

Question: When a fan has misalignment, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- vibration
- ultrasound
- oil debris
- coast down
- pressure ratio
- length measurement
- pressure (head)
- cooling gas
- amps/ volts/ load
- steam leakage


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of misalignment in fan?

Choices:
- vibration
- bushing capacitance
- length measurement
- compressor efficiency
- axial flux
- oil leakage
- dissolved gas analysis
- fuel pressure
- partial discharge
- cooling gas


failure_mode_sensor_analysis

Question: For power transformer, if a failure event insulation deterioration occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- partial discharge
- visual
- power factor/tanδ
- oil pressure
- axial flux
- pressure ratio
- exhaust temperature
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- dissolved gas analysis
- pressure (head)


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting insulation deterioration in power transformer?

Choices:
- oil leakage/ consumption
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- oil debris
- noise
- oil condition
- partial discharge
- electrical phase
- oil consumption
- temperature
- compresor pressure/ pressure ratio


failure_mode_sensor_analysis

Question: For power transformer, if a failure event insulation deterioration occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- excitation current
- fluid leakage
- fuel flow
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- oil leakage/ consumption
- vibration
- amps/ volts/ load
- turbine efficiency
- length measurement
- temperature


failure_mode_sensor_analysis

Question: For power transformer, if a failure event insulation deterioration occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- partial discharge
- engine temperature
- power factor/tanδ
- leak reactance flux
- length
- exhaust temperature
- oil debris/ contamination
- turbine efficiency
- resistance


failure_mode_sensor_analysis

Question: For power transformer, if a failure event insulation deterioration occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- compressor pressure
- temperature
- fuel flow
- oil leakage/ consumption
- oil condition
- power factor/tanδ
- radio frequency emissions
- fuel pressure
- bushing capacitance
- ultrasound


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting moisture ingress/ content in power transformer?

Choices:
- resistance
- axial flux
- oil leakage/ consumption
- oil condition
- amps/ volts/ load
- air flow
- dissolved gas analysis
- fluid flow
- coast down
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)


failure_mode_sensor_analysis

Question: When considering moisture ingress/ content in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- compressor temperature
- dissolved gas analysis
- power factor/tanδ
- resistance
- cylinder pressure
- pressure or vacuum
- steam leakage
- visual
- cooling fluid leak
- 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 is not effective in indicating the presence of moisture ingress/ content in power transformer?

Choices:
- oil pressure
- oil consumption
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- power
- temperature
- length measurement
- cylinder pressure
- oil condition
- power factor/tanδ
- dissolved gas analysis


failure_mode_sensor_analysis

Question: For power transformer, if a failure event moisture ingress/ content occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- dissolved gas analysis
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- partial discharge
- resistance
- axial flux
- power factor/tanδ
- cylinder pressure
- cooling gas
- electrical phase
- exhaust pressure


failure_mode_sensor_analysis

Question: When considering moisture ingress/ content in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- pressure or vacuum
- resistance
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- oil leakage
- radio frequency emissions
- dissolved gas analysis
- noise
- speed
- oil condition
- gas generator temperature


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting moisture ingress/ content?

Choices:
- engine temperature
- ultrasound
- power factor/tanδ
- cooling fluid leak
- pressure (head)
- resistance
- exhaust temperature
- fluid flow
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- oil condition


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting moisture ingress/ content?

Choices:
- dissolved gas analysis
- exhaust temperature
- vibration
- oil leakage
- fuel flow
- power factor/tanδ
- engine temperature
- oil condition
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- compressor efficiency


failure_mode_sensor_analysis

Question: When considering moisture ingress/ content in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- steam leakage
- exhaust temperature
- dissolved gas analysis
- oil condition
- fluid flow
- compressor efficiency
- exhaust pressure
- resistance
- frequency response analysis (fra)
- power factor/tanδ


failure_mode_sensor_analysis

Question: For power transformer, if moisture ingress/ content occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- power factor/tanδ
- length
- resistance
- oil debris
- dissolved gas analysis
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- power
- excitation current
- pressure or vacuum
- air flow


failure_mode_sensor_analysis

Question: For power transformer, if moisture ingress/ content occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- oil condition
- cooling fluid leak
- efficiency derived
- leak reactance flux
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- compressor efficiency
- compressor pressure
- power factor/tanδ
- resistance
- engine temperature


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of moisture ingress/ content in power transformer?

Choices:
- air leakage
- oil condition
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- oil debris/ contamination
- bushing capacitance
- resistance
- length
- oil leakage
- oil consumption
- dissolved gas analysis


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of on-load tap-changer condition/ fault in asset power transformer?

Choices:
- efficiency derived
- pressure or vacuum
- visual
- amps/ volts/ load
- ultrasound
- cooling gas
- power
- oil condition
- partial discharge
- axial flux


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting on-load tap-changer condition/ fault in power transformer?

Choices:
- air leakage
- noise
- cooling gas
- length
- compressor efficiency
- frequency response analysis (fra)
- ultrasound
- excitation current
- power factor/tanδ
- angular position


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting on-load tap-changer condition/ fault in power transformer?

Choices:
- gas generator temperature
- resistance
- oil consumption
- temperature
- partial discharge
- compresor pressure/ pressure ratio
- cooling gas
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- excitation current
- oil leakage/ consumption


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of on-load tap-changer condition/ fault in power transformer?

Choices:
- excitation current
- leak reactance flux
- noise
- dissolved gas analysis
- oil condition
- fluid flow
- air leakage
- length
- cylinder pressure
- axial flux


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 not relevant regarding the occurrence of the failure event?

Choices:
- partial discharge
- temperature
- bushing capacitance
- gas generator temperature
- power
- pressure (head)
- coast down time
- amps/ volts/ load
- excitation current
- compresor pressure/ pressure ratio


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of de-energized tap-changer condition/ fault in asset power transformer?

Choices:
- visual
- partial discharge
- fluid flow
- oil leakage/ consumption
- noise
- vibration
- frequency response analysis (fra)
- compressor temperature
- air flow
- engine temperature


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 not relevant regarding the occurrence of the failure event?

Choices:
- fluid flow
- power factor/tanδ
- exhaust temperature
- excitation current
- air flow
- fuel pressure
- ultrasound
- amps/ volts/ load
- frequency response analysis (fra)
- oil pressure


failure_mode_sensor_analysis

Question: For power transformer, if de-energized tap-changer condition/ fault occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- vibration
- gas generator temperature
- excitation current
- fluid flow
- length measurement
- coast down time
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- noise
- fluid leakage
- frequency response analysis (fra)


failure_mode_sensor_analysis

Question: For power transformer, if de-energized tap-changer condition/ fault occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- excitation current
- fluid flow
- noise
- turbine efficiency
- pressure or vacuum
- amps/ volts/ load
- temperature
- fluid leakage
- compresor pressure/ pressure ratio
- leak reactance flux


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of de-energized tap-changer condition/ fault in power transformer?

Choices:
- compressor efficiency
- gas generator temperature
- oil pressure
- noise
- partial discharge
- excitation current
- pressure or vacuum
- pressure (head)
- bushing capacitance
- resistance


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting oil quality deterioration?

Choices:
- oil condition
- steam leakage
- dissolved gas analysis
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- fuel flow
- exhaust temperature
- oil leakage
- radio frequency emissions
- power factor/tanδ
- amps/ volts/ load


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting oil quality deterioration in power transformer?

Choices:
- air flow
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- dissolved gas analysis
- exhaust pressure
- visual
- engine temperature
- coast down
- speed
- power factor/tanδ
- oil condition


failure_mode_sensor_analysis

Question: For power transformer, if oil quality deterioration occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- oil leakage
- oil condition
- dissolved gas analysis
- power factor/tanδ
- power
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- air flow
- compressor efficiency
- pressure or vacuum
- temperature


failure_mode_sensor_analysis

Question: When a power transformer has oil quality deterioration, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- coast down time
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- oil condition
- radio frequency emissions
- dissolved gas analysis
- cooling fluid leak
- partial discharge
- cylinder pressure
- power factor/tanδ
- oil debris


failure_mode_sensor_analysis

Question: When considering oil quality deterioration in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- pressure (head)
- noise
- compressor efficiency
- oil condition
- dissolved gas analysis
- turbine efficiency
- gas generator temperature
- power factor/tanδ
- cylinder pressure


failure_mode_sensor_analysis

Question: For power transformer, if oil quality deterioration occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- power factor/tanδ
- oil condition
- compressor temperature
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- ultrasound
- compresor pressure/ pressure ratio
- oil pressure
- power turbine temperature
- axial flux
- dissolved gas analysis


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting oil quality deterioration?

Choices:
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- angular position
- oil condition
- vibration
- dissolved gas analysis
- exhaust pressure
- coast down
- fluid leakage
- power factor/tanδ
- air flow


failure_mode_sensor_analysis

Question: When considering oil quality deterioration in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- electrical phase
- power
- fluid flow
- oil condition
- power factor/tanδ
- oil leakage/ consumption
- dissolved gas analysis
- compressor pressure
- resistance


failure_mode_sensor_analysis

Question: When considering oil quality deterioration in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- oil consumption
- pressure or vacuum
- frequency response analysis (fra)
- power factor/tanδ
- cylinder pressure
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- dissolved gas analysis
- oil condition
- coast down
- coast down time


failure_mode_sensor_analysis

Question: For power transformer, if oil quality deterioration occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- torque
- dissolved gas analysis
- oil condition
- radio frequency emissions
- power factor/tanδ
- excitation current
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- compressor pressure
- oil leakage/ consumption
- speed


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting oil quality deterioration in power transformer?

Choices:
- leak reactance flux
- electrical phase
- cooling fluid leak
- oil condition
- pressure (head)
- oil pressure
- dissolved gas analysis
- power factor/tanδ
- turbine efficiency
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting oil quality deterioration in power transformer?

Choices:
- oil condition
- power factor/tanδ
- torque
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- pressure or vacuum
- bushing capacitance
- oil leakage
- compressor temperature
- dissolved gas analysis
- oil consumption


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of arcing/ electrical discharge in power transformer?

Choices:
- dissolved gas analysis
- power
- power factor/tanδ
- amps/ volts/ load
- power turbine temperature
- partial discharge
- steam leakage
- ultrasound
- radio frequency emissions
- fuel pressure


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of arcing/ electrical discharge in asset power transformer?

Choices:
- gas generator temperature
- axial flux
- oil debris/ contamination
- pressure or vacuum
- dissolved gas analysis
- oil condition
- partial discharge
- temperature
- visual
- oil debris


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting arcing/ electrical discharge?

Choices:
- compresor pressure/ pressure ratio
- power
- coast down
- ultrasound
- oil debris/ contamination
- compressor pressure
- oil condition
- partial discharge
- vibration
- dissolved gas analysis


failure_mode_sensor_analysis

Question: For power transformer, if arcing/ electrical discharge occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- oil condition
- oil debris
- oil leakage/ consumption
- ultrasound
- fluid leakage
- length
- cooling gas
- partial discharge
- dissolved gas analysis
- resistance


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of arcing/ electrical discharge in power transformer?

Choices:
- partial discharge
- dissolved gas analysis
- cylinder pressure
- noise
- coast down
- air flow
- length
- power factor/tanδ
- gas generator temperature
- 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 not relevant regarding the occurrence of the failure event?

Choices:
- power
- visual
- frequency response analysis (fra)
- ultrasound
- cylinder pressure
- noise
- steam leakage
- partial discharge
- fuel flow
- angular position


failure_mode_sensor_analysis

Question: When considering arcing/ electrical discharge in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- length
- dissolved gas analysis
- pressure (head)
- gas generator temperature
- power factor/tanδ
- ultrasound
- oil leakage/ consumption
- noise
- excitation current
- efficiency derived


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting arcing/ electrical discharge?

Choices:
- compressor pressure
- pressure (head)
- exhaust temperature
- dissolved gas analysis
- partial discharge
- ultrasound
- power factor/tanδ
- cylinder pressure
- leak reactance flux
- compressor efficiency


failure_mode_sensor_analysis

Question: For power transformer, if arcing/ electrical discharge occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- pressure (head)
- oil condition
- dissolved gas analysis
- power factor/tanδ
- cooling gas
- noise
- fluid leakage
- speed
- bushing capacitance
- oil leakage


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of connection/ bushing faults in asset power transformer?

Choices:
- cylinder pressure
- ultrasound
- electrical phase
- exhaust temperature
- speed
- dissolved gas analysis
- amps/ volts/ load
- partial discharge
- noise
- turbine efficiency


failure_mode_sensor_analysis

Question: When a power transformer has connection/ bushing faults, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- resistance
- partial discharge
- radio frequency emissions
- dissolved gas analysis
- oil consumption
- compressor pressure
- bushing capacitance
- visual
- pressure ratio
- torque


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of connection/ bushing faults in asset power transformer?

Choices:
- exhaust temperature
- power factor/tanδ
- oil condition
- efficiency derived
- ultrasound
- resistance
- air leakage
- dissolved gas analysis
- engine temperature
- speed


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of connection/ bushing faults in asset power transformer?

Choices:
- coast down
- oil leakage/ consumption
- compressor temperature
- fluid flow
- resistance
- temperature
- vibration
- bushing capacitance
- ultrasound
- pressure or vacuum


failure_mode_sensor_analysis

Question: When a power transformer has connection/ bushing faults, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- partial discharge
- ultrasound
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- air leakage
- oil debris/ contamination
- engine temperature
- pressure (head)
- resistance
- speed
- dissolved gas analysis


failure_mode_sensor_analysis

Question: When considering connection/ bushing faults in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- oil consumption
- bushing capacitance
- frequency response analysis (fra)
- length measurement
- temperature
- ultrasound
- cylinder pressure
- length
- resistance
- fluid leakage


failure_mode_sensor_analysis

Question: For power transformer, if connection/ bushing faults occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- partial discharge
- oil consumption
- pressure ratio
- oil debris
- radio frequency emissions
- excitation current
- resistance
- cooling fluid leak
- noise
- bushing capacitance


failure_mode_sensor_analysis

Question: When considering connection/ bushing faults in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- fluid leakage
- turbine efficiency
- leak reactance flux
- resistance
- noise
- engine temperature
- oil pressure
- oil leakage/ consumption
- temperature
- power factor/tanδ


failure_mode_sensor_analysis

Question: For power transformer, if overheating/ auxiliary cooling system fault occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- ultrasound
- visual
- amps/ volts/ load
- power turbine temperature
- dissolved gas analysis
- coast down time
- oil debris
- electrical phase
- temperature
- compressor pressure


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting overheating/ auxiliary cooling system fault?

Choices:
- dissolved gas analysis
- fluid flow
- visual
- radio frequency emissions
- partial discharge
- efficiency derived
- fluid leakage
- length measurement
- oil condition
- ultrasound


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting overheating/ auxiliary cooling system fault?

Choices:
- air leakage
- ultrasound
- noise
- length measurement
- visual
- temperature
- dissolved gas analysis
- coast down time
- fluid flow
- speed


failure_mode_sensor_analysis

Question: When a power transformer has overheating/ auxiliary cooling system fault, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- compressor temperature
- fluid flow
- temperature
- efficiency derived
- ultrasound
- vibration
- dissolved gas analysis
- length
- oil condition
- compressor pressure


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting overheating/ auxiliary cooling system fault in power transformer?

Choices:
- air leakage
- ultrasound
- compressor pressure
- pressure or vacuum
- power factor/tanδ
- dissolved gas analysis
- fluid leakage
- visual
- oil condition
- electrical phase


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of overheating/ auxiliary cooling system fault in power transformer?

Choices:
- resistance
- ultrasound
- radio frequency emissions
- compresor pressure/ pressure ratio
- air flow
- length measurement
- visual
- dissolved gas analysis
- air leakage
- oil condition


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of overheating/ auxiliary cooling system fault in power transformer?

Choices:
- axial flux
- oil condition
- turbine efficiency
- electrical phase
- dissolved gas analysis
- ultrasound
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- visual
- oil debris/ contamination
- engine temperature


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of overheating/ auxiliary cooling system fault in asset power transformer?

Choices:
- temperature
- visual
- dissolved gas analysis
- oil leakage/ consumption
- ultrasound
- exhaust pressure
- radio frequency emissions
- efficiency derived
- cooling gas
- frequency response analysis (fra)


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting overheating/ auxiliary cooling system fault in power transformer?

Choices:
- dissolved gas analysis
- speed
- turbine efficiency
- ultrasound
- excitation current
- temperature
- pressure (head)
- exhaust pressure
- visual
- oil leakage


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of overheating/ auxiliary cooling system fault in power transformer?

Choices:
- dissolved gas analysis
- fuel pressure
- axial flux
- turbine efficiency
- oil consumption
- air flow
- temperature
- ultrasound
- visual
- leak reactance flux


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of overheating/ auxiliary cooling system fault in asset power transformer?

Choices:
- visual
- dissolved gas analysis
- power
- oil condition
- fuel pressure
- exhaust pressure
- bushing capacitance
- compressor efficiency
- temperature
- speed


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of low oil level in asset power transformer?

Choices:
- air flow
- oil condition
- oil leakage
- length measurement
- compresor pressure/ pressure ratio
- amps/ volts/ load
- ultrasound
- fluid leakage
- temperature
- noise


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting low oil level?

Choices:
- oil condition
- radio frequency emissions
- oil debris/ contamination
- coast down
- dissolved gas analysis
- oil leakage/ consumption
- visual
- noise
- partial discharge
- compressor temperature


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of low oil level in asset power transformer?

Choices:
- temperature
- power
- oil leakage
- dissolved gas analysis
- ultrasound
- electrical phase
- speed
- vibration
- oil debris/ contamination
- oil condition


failure_mode_sensor_analysis

Question: For power transformer, if a failure event low oil level occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- oil condition
- compressor temperature
- torque
- axial flux
- noise
- temperature
- power factor/tanδ
- pressure or vacuum
- electrical phase
- dissolved gas analysis


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting low oil level?

Choices:
- oil leakage
- cooling gas
- temperature
- oil debris/ contamination
- dissolved gas analysis
- resistance
- coast down
- oil condition
- axial flux
- visual


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting low oil level in power transformer?

Choices:
- oil condition
- dissolved gas analysis
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- temperature
- compressor temperature
- ultrasound
- electrical phase
- radio frequency emissions
- oil consumption
- cylinder pressure


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of low oil level in asset power transformer?

Choices:
- axial flux
- noise
- oil condition
- frequency response analysis (fra)
- electrical phase
- coast down time
- dissolved gas analysis
- oil debris/ contamination
- compressor temperature
- visual


failure_mode_sensor_analysis

Question: When a power transformer has low oil level, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- oil condition
- ultrasound
- fuel flow
- excitation current
- radio frequency emissions
- noise
- pressure (head)
- oil pressure
- temperature
- compressor temperature


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of low oil level in power transformer?

Choices:
- air leakage
- noise
- leak reactance flux
- air flow
- oil pressure
- oil leakage/ consumption
- visual
- oil condition
- ultrasound
- radio frequency emissions


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of low oil level in power transformer?

Choices:
- ultrasound
- noise
- cylinder pressure
- bushing capacitance
- pressure or vacuum
- cooling gas
- fuel flow
- temperature
- oil condition
- power turbine temperature


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting oil circulation system problem?

Choices:
- amps/ volts/ load
- torque
- visual
- air flow
- length measurement
- temperature
- pressure ratio
- dissolved gas analysis
- exhaust pressure
- oil condition


failure_mode_sensor_analysis

Question: For power transformer, if a failure event oil circulation system problem occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- dissolved gas analysis
- compressor temperature
- power
- power turbine temperature
- coast down
- oil condition
- temperature
- length
- partial discharge
- visual


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting oil circulation system problem in power transformer?

Choices:
- axial flux
- noise
- power
- oil leakage
- power turbine temperature
- temperature
- dissolved gas analysis
- visual
- torque
- oil condition


failure_mode_sensor_analysis

Question: For power transformer, if a failure event oil circulation system problem occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- ultrasound
- temperature
- length measurement
- pressure or vacuum
- oil condition
- visual
- pressure (head)
- compresor pressure/ pressure ratio
- compressor temperature
- dissolved gas analysis


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting oil circulation system problem in power transformer?

Choices:
- speed
- cooling fluid leak
- oil leakage
- air leakage
- oil condition
- temperature
- visual
- gas generator temperature
- dissolved gas analysis
- vibration


failure_mode_sensor_analysis

Question: For power transformer, if a failure event oil circulation system problem occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- temperature
- fluid flow
- speed
- dissolved gas analysis
- coast down time
- compresor pressure/ pressure ratio
- power factor/tanδ
- oil condition
- visual
- power turbine temperature


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting oil circulation system problem in power transformer?

Choices:
- resistance
- coast down time
- visual
- gas generator temperature
- dissolved gas analysis
- oil debris/ contamination
- oil condition
- temperature
- oil consumption
- efficiency derived


failure_mode_sensor_analysis

Question: For power transformer, if oil circulation system problem occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- dissolved gas analysis
- oil consumption
- visual
- length
- fuel flow
- oil condition
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- electrical phase
- power turbine temperature
- temperature


failure_mode_sensor_analysis

Question: When a power transformer has oil circulation system problem, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- dissolved gas analysis
- pressure or vacuum
- oil debris/ contamination
- power turbine temperature
- gas generator temperature
- frequency response analysis (fra)
- visual
- temperature
- oil condition
- oil leakage


failure_mode_sensor_analysis

Question: For power transformer, if oil circulation system problem occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- oil condition
- radio frequency emissions
- excitation current
- compresor pressure/ pressure ratio
- temperature
- oil consumption
- cooling gas
- visual
- oil debris
- dissolved gas analysis


failure_mode_sensor_analysis

Question: When a power transformer has oil circulation system problem, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- oil condition
- turbine efficiency
- visual
- oil leakage/ consumption
- coast down
- leak reactance flux
- dissolved gas analysis
- power turbine temperature
- temperature
- oil leakage


failure_mode_sensor_analysis

Question: For power transformer, if oil circulation system problem occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- visual
- oil condition
- dissolved gas analysis
- temperature
- bushing capacitance
- angular position
- pressure or vacuum
- coast down time
- radio frequency emissions
- torque


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting winding distortion?

Choices:
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- oil debris
- amps/ volts/ load
- leak reactance flux
- steam leakage
- ultrasound
- efficiency derived
- frequency response analysis (fra)
- radio frequency emissions
- exhaust temperature


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of winding distortion in power transformer?

Choices:
- fuel flow
- angular position
- power
- cooling gas
- ultrasound
- leak reactance flux
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- pressure or vacuum
- frequency response analysis (fra)
- visual


failure_mode_sensor_analysis

Question: When considering winding distortion in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- compressor pressure
- oil condition
- power turbine temperature
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- fuel pressure
- coast down
- ultrasound
- leak reactance flux
- cooling fluid leak
- frequency response analysis (fra)


failure_mode_sensor_analysis

Question: When considering winding distortion in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- temperature
- ultrasound
- cylinder pressure
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- power turbine temperature
- oil consumption
- leak reactance flux
- frequency response analysis (fra)
- pressure ratio
- pressure or vacuum


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of winding distortion in asset power transformer?

Choices:
- frequency response analysis (fra)
- cooling fluid leak
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- ultrasound
- leak reactance flux
- partial discharge
- efficiency derived
- engine temperature
- fluid leakage
- speed


failure_mode_sensor_analysis

Question: For power transformer, if a failure event winding distortion occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- leak reactance flux
- dissolved gas analysis
- axial flux
- ultrasound
- oil pressure
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- fuel pressure
- oil leakage/ consumption
- frequency response analysis (fra)
- compresor pressure/ pressure ratio


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting winding distortion in power transformer?

Choices:
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- compresor pressure/ pressure ratio
- leak reactance flux
- noise
- pressure or vacuum
- frequency response analysis (fra)
- steam leakage
- angular position
- efficiency derived
- ultrasound


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting winding distortion in power transformer?

Choices:
- frequency response analysis (fra)
- oil debris/ contamination
- power
- pressure (head)
- leak reactance flux
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- fuel flow
- compressor temperature
- vibration
- ultrasound


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of winding distortion in asset power transformer?

Choices:
- angular position
- coast down
- ultrasound
- power factor/tanδ
- frequency response analysis (fra)
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- length measurement
- leak reactance flux
- fluid leakage
- axial flux


failure_mode_sensor_analysis

Question: When considering winding distortion in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- cooling gas
- ultrasound
- coast down
- exhaust temperature
- leak reactance flux
- frequency response analysis (fra)
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- fluid flow
- oil pressure
- resistance


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of winding distortion in power transformer?

Choices:
- efficiency derived
- axial flux
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- leak reactance flux
- ultrasound
- cylinder pressure
- length measurement
- cooling fluid leak
- frequency response analysis (fra)
- excitation current


failure_mode_sensor_analysis

Question: For power transformer, if a failure event winding distortion occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- frequency response analysis (fra)
- ultrasound
- speed
- steam leakage
- compressor temperature
- oil leakage
- bushing capacitance
- pressure (head)
- leak reactance flux


failure_mode_sensor_analysis

Question: When a power transformer has winding looseness, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- ultrasound
- vibration
- oil pressure
- fluid leakage
- noise
- torque
- power
- exhaust temperature
- compressor efficiency
- amps/ volts/ load


failure_mode_sensor_analysis

Question: For power transformer, if a failure event winding looseness occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- vibration
- ultrasound
- length measurement
- pressure ratio
- visual
- oil debris/ contamination
- compressor pressure
- noise
- oil leakage
- fluid leakage


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of winding looseness in power transformer?

Choices:
- oil leakage
- compressor temperature
- ultrasound
- oil condition
- vibration
- noise
- torque
- oil leakage/ consumption
- engine temperature
- oil debris/ contamination


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of winding looseness in power transformer?

Choices:
- ultrasound
- air leakage
- angular position
- steam leakage
- fluid leakage
- power
- coast down
- vibration
- temperature
- noise


failure_mode_sensor_analysis

Question: For power transformer, if winding looseness occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- angular position
- noise
- power turbine temperature
- vibration
- ultrasound
- partial discharge
- oil debris
- pressure (head)
- length
- pressure or vacuum


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of winding looseness in asset power transformer?

Choices:
- noise
- air flow
- exhaust temperature
- fluid flow
- vibration
- dissolved gas analysis
- gas generator temperature
- compressor efficiency
- ultrasound
- pressure ratio


failure_mode_sensor_analysis

Question: For power transformer, if a failure event winding looseness occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- oil leakage
- ultrasound
- oil consumption
- exhaust temperature
- cooling gas
- oil leakage/ consumption
- noise
- compressor pressure
- vibration
- power factor/tanδ


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of winding looseness in power transformer?

Choices:
- coast down
- noise
- fuel pressure
- vibration
- pressure ratio
- resistance
- fuel flow
- cylinder pressure
- exhaust temperature
- ultrasound


failure_mode_sensor_analysis

Question: For power transformer, if winding looseness occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- coast down
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- cooling fluid leak
- compressor pressure
- vibration
- ultrasound
- noise
- compressor efficiency
- fuel flow
- axial flux


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of winding looseness in power transformer?

Choices:
- oil leakage
- torque
- vibration
- compressor temperature
- noise
- frequency response analysis (fra)
- oil debris
- pressure ratio
- ultrasound
- turbine efficiency


failure_mode_sensor_analysis

Question: When a power transformer has winding looseness, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- vibration
- noise
- efficiency derived
- excitation current
- power turbine temperature
- fluid leakage
- pressure ratio
- compressor temperature
- ultrasound
- gas generator temperature


failure_mode_sensor_analysis

Question: When a power transformer has winding looseness, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- ultrasound
- leak reactance flux
- axial flux
- vibration
- oil debris
- length
- angular position
- fluid leakage
- coast down
- noise


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting winding looseness?

Choices:
- fuel flow
- noise
- exhaust pressure
- ultrasound
- fluid leakage
- vibration
- bushing capacitance
- power
- gas generator temperature
- radio frequency emissions


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting core looseness in power transformer?

Choices:
- pressure ratio
- length measurement
- compressor temperature
- oil consumption
- noise
- vibration
- oil leakage/ consumption
- engine temperature
- ultrasound
- amps/ volts/ load


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting core looseness in power transformer?

Choices:
- oil leakage
- noise
- cooling fluid leak
- visual
- oil leakage/ consumption
- fuel flow
- electrical phase
- fluid leakage
- ultrasound
- vibration


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of core looseness in power transformer?

Choices:
- noise
- ultrasound
- compressor pressure
- oil condition
- cooling gas
- pressure (head)
- oil pressure
- coast down time
- vibration
- compressor efficiency


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of core looseness in asset power transformer?

Choices:
- oil pressure
- power turbine temperature
- temperature
- ultrasound
- electrical phase
- radio frequency emissions
- fluid flow
- noise
- engine temperature
- vibration


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting core looseness?

Choices:
- pressure ratio
- partial discharge
- pressure (head)
- vibration
- angular position
- ultrasound
- fuel pressure
- noise
- length
- steam leakage


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting core looseness?

Choices:
- dissolved gas analysis
- compresor pressure/ pressure ratio
- coast down time
- vibration
- turbine efficiency
- noise
- oil consumption
- pressure (head)
- fluid flow
- ultrasound


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting core looseness in power transformer?

Choices:
- power factor/tanδ
- compresor pressure/ pressure ratio
- ultrasound
- angular position
- vibration
- electrical phase
- noise
- oil leakage/ consumption
- compressor temperature
- length measurement


failure_mode_sensor_analysis

Question: For power transformer, if a failure event core looseness occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- ultrasound
- cylinder pressure
- pressure ratio
- air flow
- noise
- vibration
- length
- oil debris/ contamination
- resistance
- oil leakage


failure_mode_sensor_analysis

Question: When a power transformer has core looseness, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- vibration
- radio frequency emissions
- efficiency derived
- noise
- compressor efficiency
- exhaust pressure
- ultrasound
- coast down time
- gas generator temperature
- 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 does not indicate the presence of core looseness in asset power transformer?

Choices:
- frequency response analysis (fra)
- ultrasound
- vibration
- noise
- oil pressure
- steam leakage
- power
- turbine efficiency
- compressor temperature
- gas generator temperature


failure_mode_sensor_analysis

Question: When a power transformer has core looseness, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- noise
- air leakage
- vibration
- excitation current
- ultrasound
- air flow
- pressure ratio
- pressure or vacuum
- angular position
- coast down time


failure_mode_sensor_analysis

Question: For power transformer, if core looseness occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- length measurement
- ultrasound
- oil consumption
- vibration
- noise
- fuel flow
- compresor pressure/ pressure ratio
- axial flux
- leak reactance flux
- turbine efficiency


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting core looseness?

Choices:
- steam leakage
- pressure or vacuum
- vibration
- air leakage
- bushing capacitance
- fuel flow
- speed
- noise
- ultrasound
- cooling gas


failure_mode_sensor_analysis

Question: For power transformer, if oil leak occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- pressure ratio
- oil debris
- amps/ volts/ load
- compressor pressure
- compresor pressure/ pressure ratio
- visual
- length measurement
- axial flux
- turbine efficiency
- pressure or vacuum


failure_mode_sensor_analysis

Question: For power transformer, if a failure event oil leak occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- visual
- compressor efficiency
- air leakage
- length measurement
- cylinder pressure
- pressure ratio
- exhaust pressure
- oil condition
- power
- compressor temperature


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of oil leak in asset power transformer?

Choices:
- fuel pressure
- fluid leakage
- radio frequency emissions
- compressor efficiency
- cylinder pressure
- fuel flow
- engine temperature
- air leakage
- visual
- temperature


failure_mode_sensor_analysis

Question: For power transformer, if oil leak occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- partial discharge
- compressor temperature
- compressor pressure
- visual
- torque
- oil debris
- air leakage
- pressure ratio
- fluid leakage
- power turbine temperature


failure_mode_sensor_analysis

Question: When considering oil leak in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- engine temperature
- pressure ratio
- turbine efficiency
- coast down
- electrical phase
- steam leakage
- visual
- oil pressure
- coast down time
- dissolved gas analysis


failure_mode_sensor_analysis

Question: When a power transformer has oil leak, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- axial flux
- cylinder pressure
- cooling fluid leak
- oil consumption
- pressure (head)
- coast down time
- oil pressure
- noise
- pressure ratio
- visual


failure_mode_sensor_analysis

Question: For power transformer, if a failure event oil leak occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- cooling gas
- torque
- ultrasound
- engine temperature
- fuel pressure
- visual
- coast down time
- coast down
- fluid flow
- oil debris


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of oil leak in asset power transformer?

Choices:
- vibration
- pressure ratio
- air leakage
- compressor efficiency
- steam leakage
- oil leakage
- fluid leakage
- pressure (head)
- fuel flow
- visual


failure_mode_sensor_analysis

Question: When considering oil leak in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- air leakage
- coast down
- oil consumption
- compressor temperature
- cooling fluid leak
- power factor/tanδ
- visual
- angular position
- gas generator temperature
- oil leakage/ consumption


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting oil leak?

Choices:
- fuel flow
- steam leakage
- visual
- resistance
- exhaust temperature
- power
- air leakage
- oil pressure
- length measurement
- fluid flow


failure_mode_sensor_analysis

Question: When a power transformer has oil leak, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- torque
- air flow
- compressor efficiency
- exhaust pressure
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- radio frequency emissions
- coast down time
- oil leakage
- air leakage
- visual


failure_mode_sensor_analysis

Question: When considering oil leak in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- length
- oil leakage/ consumption
- angular position
- cooling gas
- steam leakage
- electrical phase
- compressor efficiency
- compressor pressure
- visual
- frequency response analysis (fra)


failure_mode_sensor_analysis

Question: When a power transformer has oil leak, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- visual
- exhaust pressure
- speed
- oil pressure
- excitation current
- oil debris/ contamination
- angular position
- turbine efficiency
- radio frequency emissions
- engine temperature


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of oil leak in power transformer?

Choices:
- leak reactance flux
- power
- radio frequency emissions
- visual
- pressure or vacuum
- turbine efficiency
- compressor pressure
- angular position
- oil leakage
- exhaust pressure


failure_mode_sensor_analysis

Question: For power transformer, if oil leak occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- bushing capacitance
- steam leakage
- oil debris
- length measurement
- fluid flow
- exhaust pressure
- visual
- engine temperature
- exhaust temperature
- cylinder pressure


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting external damage/ disturbance?

Choices:
- amps/ volts/ load
- oil leakage
- power
- turbine efficiency
- fluid flow
- cooling fluid leak
- oil leakage/ consumption
- oil pressure
- visual
- fluid leakage


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of external damage/ disturbance in asset power transformer?

Choices:
- visual
- oil condition
- coast down time
- efficiency derived
- cooling gas
- power
- oil consumption
- turbine efficiency
- compressor efficiency
- air leakage


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of external damage/ disturbance in asset power transformer?

Choices:
- power turbine temperature
- exhaust pressure
- electrical phase
- exhaust temperature
- efficiency derived
- compressor efficiency
- temperature
- oil pressure
- visual
- oil debris


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of external damage/ disturbance in asset power transformer?

Choices:
- visual
- exhaust pressure
- axial flux
- torque
- partial discharge
- power
- speed
- fuel pressure
- length measurement
- oil leakage


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of external damage/ disturbance in power transformer?

Choices:
- angular position
- oil consumption
- length
- coast down time
- compresor pressure/ pressure ratio
- engine temperature
- visual
- fluid leakage
- dissolved gas analysis
- pressure or vacuum


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting external damage/ disturbance?

Choices:
- angular position
- exhaust temperature
- fluid leakage
- power
- visual
- air flow
- noise
- cooling gas
- compressor pressure
- compresor pressure/ pressure ratio


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of external damage/ disturbance in power transformer?

Choices:
- power turbine temperature
- visual
- angular position
- oil leakage/ consumption
- length measurement
- efficiency derived
- ultrasound
- pressure ratio
- compressor temperature
- fluid leakage


failure_mode_sensor_analysis

Question: For power transformer, if a failure event external damage/ disturbance occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- pressure (head)
- power
- exhaust pressure
- oil debris
- gas generator temperature
- visual
- angular position
- fluid flow
- vibration
- oil pressure


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting external damage/ disturbance?

Choices:
- steam leakage
- visual
- fluid flow
- pressure (head)
- power factor/tanδ
- oil debris/ contamination
- radio frequency emissions
- oil consumption
- exhaust temperature
- power


failure_mode_sensor_analysis

Question: When a power transformer has external damage/ disturbance, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- radio frequency emissions
- visual
- exhaust temperature
- engine temperature
- fluid leakage
- steam leakage
- fluid flow
- pressure (head)
- torque
- resistance


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting external damage/ disturbance?

Choices:
- angular position
- coast down time
- oil debris
- compressor efficiency
- radio frequency emissions
- visual
- cooling fluid leak
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- power
- oil leakage


failure_mode_sensor_analysis

Question: When a power transformer has external damage/ disturbance, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- visual
- length
- electrical phase
- frequency response analysis (fra)
- oil leakage/ consumption
- compressor pressure
- air leakage
- turbine efficiency
- cooling fluid leak
- steam leakage


failure_mode_sensor_analysis

Question: When considering external damage/ disturbance in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- power
- speed
- compressor pressure
- axial flux
- fuel pressure
- excitation current
- visual
- power turbine temperature
- gas generator temperature
- pressure or vacuum


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting external damage/ disturbance in power transformer?

Choices:
- leak reactance flux
- oil leakage
- visual
- power turbine temperature
- coast down time
- air leakage
- gas generator temperature
- fuel pressure
- turbine efficiency
- compressor temperature


failure_mode_sensor_analysis

Question: When a power transformer has external damage/ disturbance, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- coast down
- cooling fluid leak
- electrical phase
- visual
- torque
- angular position
- length
- bushing capacitance
- gas generator temperature
- air flow


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting through fault e.g. lightning strike in power transformer?

Choices:
- frequency response analysis (fra)
- oil leakage/ consumption
- compresor pressure/ pressure ratio
- power factor/tanδ
- radio frequency emissions
- amps/ volts/ load
- fuel pressure
- power
- pressure (head)
- pressure or vacuum


failure_mode_sensor_analysis

Question: When considering through fault e.g. lightning strike in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- power factor/tanδ
- frequency response analysis (fra)
- oil debris
- oil debris/ contamination
- fluid flow
- length
- fluid leakage
- turbine efficiency
- cooling fluid leak
- visual


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of through fault e.g. lightning strike in asset power transformer?

Choices:
- electrical phase
- oil condition
- pressure (head)
- frequency response analysis (fra)
- cooling gas
- oil debris
- power factor/tanδ
- compressor temperature
- oil leakage
- gas generator temperature


failure_mode_sensor_analysis

Question: For power transformer, if a failure event through fault e.g. lightning strike occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- efficiency derived
- exhaust temperature
- angular position
- compressor temperature
- pressure (head)
- frequency response analysis (fra)
- power factor/tanδ
- fluid flow
- temperature
- pressure or vacuum


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting through fault e.g. lightning strike?

Choices:
- axial flux
- efficiency derived
- frequency response analysis (fra)
- partial discharge
- power factor/tanδ
- exhaust temperature
- oil leakage
- cooling fluid leak
- pressure or vacuum
- coast down


failure_mode_sensor_analysis

Question: Which sensor out of the choices does not indicate the presence of through fault e.g. lightning strike in asset power transformer?

Choices:
- fluid flow
- coast down time
- air leakage
- fuel flow
- frequency response analysis (fra)
- axial flux
- air flow
- exhaust temperature
- dissolved gas analysis
- power factor/tanδ


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting through fault e.g. lightning strike?

Choices:
- air flow
- power factor/tanδ
- speed
- noise
- power
- coast down
- frequency response analysis (fra)
- compressor efficiency
- axial flux
- turbine efficiency


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting through fault e.g. lightning strike in power transformer?

Choices:
- compressor pressure
- power factor/tanδ
- ultrasound
- frequency response analysis (fra)
- torque
- power
- oil consumption
- oil debris/ contamination
- gas generator temperature
- coast down time


failure_mode_sensor_analysis

Question: For power transformer, if through fault e.g. lightning strike occurs, which sensor among the choices is least likely to be relevant in identifying this failure?

Choices:
- cylinder pressure
- speed
- angular position
- oil debris/ contamination
- frequency response analysis (fra)
- vibration
- oil leakage
- power factor/tanδ
- cooling fluid leak
- power turbine temperature


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting through fault e.g. lightning strike in power transformer?

Choices:
- frequency response analysis (fra)
- resistance
- oil leakage
- power factor/tanδ
- radio frequency emissions
- cooling gas
- speed
- axial flux
- fluid flow
- torque


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of through fault e.g. lightning strike in power transformer?

Choices:
- engine temperature
- compressor temperature
- power factor/tanδ
- fuel pressure
- compressor efficiency
- exhaust temperature
- compresor pressure/ pressure ratio
- frequency response analysis (fra)
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- air leakage


failure_mode_sensor_analysis

Question: When a power transformer has through fault e.g. lightning strike, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- excitation current
- efficiency derived
- steam leakage
- exhaust temperature
- fuel pressure
- power factor/tanδ
- frequency response analysis (fra)
- pressure ratio
- coast down
- oil consumption


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting through fault e.g. lightning strike?

Choices:
- oil leakage/ consumption
- oil pressure
- leak reactance flux
- compressor temperature
- air flow
- efficiency derived
- pressure (head)
- power factor/tanδ
- frequency response analysis (fra)
- engine temperature


failure_mode_sensor_analysis

Question: When a power transformer has through fault e.g. lightning strike, which sensor out of the choices should not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- bushing capacitance
- length measurement
- fluid leakage
- power turbine temperature
- compresor pressure/ pressure ratio
- turbine efficiency
- power factor/tanδ
- frequency response analysis (fra)
- oil consumption
- compressor pressure


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting supply faults, e.g. excessive harmonics and over fluxing?

Choices:
- amps/ volts/ load
- power turbine temperature
- air leakage
- fuel flow
- fluid flow
- efficiency derived
- pressure (head)
- air flow
- visual
- power


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 not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- amps/ volts/ load
- torque
- length measurement
- cooling fluid leak
- cooling gas
- compresor pressure/ pressure ratio
- air flow
- oil condition
- radio frequency emissions
- compressor temperature


failure_mode_sensor_analysis

Question: For power transformer, if a failure event supply faults, e.g. excessive harmonics and over fluxing occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- compressor pressure
- fluid flow
- amps/ volts/ load
- axial flux
- angular position
- temperature
- efficiency derived
- air flow
- fluid leakage
- coast down


failure_mode_sensor_analysis

Question: Which sensor out of the choices is not effective in indicating the presence of supply faults, e.g. excessive harmonics and over fluxing in power transformer?

Choices:
- turbine efficiency
- angular position
- amps/ volts/ load
- air leakage
- fluid flow
- power
- compressor pressure
- length measurement
- partial discharge
- oil debris


failure_mode_sensor_analysis

Question: For power transformer, if a failure event supply faults, e.g. excessive harmonics and over fluxing occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- fluid flow
- coast down time
- electrical phase
- compressor temperature
- power
- compresor pressure/ pressure ratio
- radio frequency emissions
- gas generator temperature
- dissolved gas analysis
- 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 not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- fluid flow
- cooling fluid leak
- coast down
- engine temperature
- length
- compressor temperature
- noise
- gas generator temperature
- compressor efficiency
- amps/ volts/ load


failure_mode_sensor_analysis

Question: Which sensor from the choices does not contribute significantly to detecting supply faults, e.g. excessive harmonics and over fluxing in power transformer?

Choices:
- amps/ volts/ load
- power turbine temperature
- compressor temperature
- steam leakage
- speed
- ultrasound
- fluid leakage
- oil consumption
- air flow
- oil debris/ contamination


failure_mode_sensor_analysis

Question: When considering supply faults, e.g. excessive harmonics and over fluxing in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- length
- amps/ volts/ load
- pressure ratio
- oil debris
- oil leakage/ consumption
- radio frequency emissions
- coast down
- exhaust pressure
- vibration
- oil leakage


failure_mode_sensor_analysis

Question: For power transformer, if a failure event supply faults, e.g. excessive harmonics and over fluxing occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- engine temperature
- power
- cooling gas
- axial flux
- fuel pressure
- power factor/tanδ
- amps/ volts/ load
- fluid flow
- exhaust pressure
- length


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting supply faults, e.g. excessive harmonics and over fluxing?

Choices:
- pressure or vacuum
- oil leakage
- power
- amps/ volts/ load
- coast down time
- fuel flow
- compressor temperature
- electrical phase
- resistance
- fluid leakage


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting supply faults, e.g. excessive harmonics and over fluxing?

Choices:
- cylinder pressure
- oil pressure
- dielecric frequency response (dfr)/ polarization and de-polarization current (pdc)/ recovery voltage method (rvm)
- amps/ volts/ load
- oil consumption
- oil debris
- fuel flow
- air flow
- torque
- pressure or vacuum


failure_mode_sensor_analysis

Question: In power transformer, which sensor among the choices is least useful for detecting supply faults, e.g. excessive harmonics and over fluxing?

Choices:
- amps/ volts/ load
- turbine efficiency
- cylinder pressure
- electrical phase
- coast down
- pressure or vacuum
- efficiency derived
- frequency response analysis (fra)
- compressor efficiency
- oil consumption


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 not be the sensor to be monitored for this failure if I want to build an anomaly detection model?

Choices:
- torque
- oil consumption
- excitation current
- length
- cooling fluid leak
- amps/ volts/ load
- radio frequency emissions
- exhaust pressure
- coast down time
- cylinder pressure


failure_mode_sensor_analysis

Question: For power transformer, if a failure event supply faults, e.g. excessive harmonics and over fluxing occurs, which sensor out of the choices is not relevant regarding the occurrence of the failure event?

Choices:
- oil debris
- length measurement
- leak reactance flux
- coast down
- oil pressure
- amps/ volts/ load
- coast down time
- efficiency derived
- fuel flow
- electrical phase


failure_mode_sensor_analysis

Question: When considering supply faults, e.g. excessive harmonics and over fluxing in power transformer, which sensor should be disregarded from the choices for monitoring this failure?

Choices:
- amps/ volts/ load
- angular position
- coast down time
- pressure ratio
- oil consumption
- engine temperature
- fluid leakage
- coast down
- bushing capacitance
- torque


failure_mode_sensor_analysis

Question: In electric motor, which failure event is unimportant if the sensor current shows an abnormal reading?

Choices:
- failure while running
- unbalance
- internal leakage utility medium
- bearing damage
- high output
- eccentric rotor fault
- stator windings fault
- rotor windings fault
- failure to start on demand
- failure to function on demand


failure_mode_sensor_analysis

Question: What is the irrelevant failure event for electric motor if the sensor current exhibits an abnormal reading?

Choices:
- internal leakage
- stuck
- misalignment
- insulation deterioration
- failure to start on demand
- brush(es) fault
- delayed operation
- stator windings fault
- external leakage - utility medium
- loss of input power phase


failure_mode_sensor_analysis

Question: Which failure event should be excluded for electric motor when an abnormal reading is detected by the sensor voltage?

Choices:
- insulation deterioration
- spurious operation
- rotor windings fault
- spurious stop
- low output
- very low output
- loss of input power phase
- loss of buoyancy
- brush(es) fault
- failure to open on demand


failure_mode_sensor_analysis

Question: Which failure event should be excluded for electric motor when an abnormal reading is detected by the sensor voltage?

Choices:
- insulation deterioration
- failure to stop on demand
- stator windings fault
- brush(es) fault
- loss of input power phase
- spurious high alarm level
- parameter deviation
- failure to cut
- failure to function on demand
- insufficient power


failure_mode_sensor_analysis

Question: What is the irrelevant failure event for electric motor if the sensor voltage exhibits an abnormal reading?

Choices:
- internal leakage process medium
- brush(es) fault
- external leakage - utility medium
- loss of input power phase
- insulation deterioration
- eccentric rotor fault
- failure while running
- insufficient heat transfer
- failure to cut
- internal leakage


failure_mode_sensor_analysis

Question: When an abnormal reading is detected by the sensor voltage in electric motor, which failure event is not relevant?

Choices:
- slippage
- failure to open on demand
- failure in lightning protection system
- faulty output voltage
- bearing damage
- brush(es) fault
- failure to connect
- spurious low alarm level
- loss of input power phase
- insulation deterioration


failure_mode_sensor_analysis

Question: For electric motor, which failure event is not pertinent if the sensor voltage registers an abnormal reading?

Choices:
- unbalance
- loss of functions on both pods
- insulation deterioration
- external leakage - utility medium
- failure to regulate
- global buckling
- spurious operation
- brush(es) fault
- loss of input power phase
- mooring failure


failure_mode_sensor_analysis

Question: Which failure event is irrelevant for electric motor if there is an abnormal reading from the sensor voltage?

Choices:
- failure to stop on demand
- insulation deterioration
- misalignment
- control-line-to-well communication
- insufficient power
- loss of input power phase
- faulty output frequency
- internal leakage - utility medium
- brush(es) fault
- loss of buoyancy


failure_mode_sensor_analysis

Question: For electric motor, what is the non-relevant failure event when the sensor resistance has an abnormal reading?

Choices:
- rotor windings fault
- no output
- insufficient power
- internal leakage process medium
- plugged/ choked
- failure to start on demand
- noise
- sludge build-up
- insulation deterioration
- well-to-control-line communication


failure_mode_sensor_analysis

Question: If the sensor resistance in electric motor shows an abnormal reading, which failure event is insignificant?

Choices:
- delayed operation
- stator windings fault
- failure to function on demand
- mooring failure
- control/ signal failure
- insulation deterioration
- low oil supply pressure
- low output
- leakage in closed position
- external leakage utility medium


failure_mode_sensor_analysis

Question: Which failure event is irrelevant for electric motor if there is an abnormal reading from the sensor resistance?

Choices:
- noise
- spurious operation
- external leakage - utility medium
- control / signal failure
- slippage
- premature closure
- insulation deterioration
- internal leakage
- eccentric rotor fault
- failure to close on demand


failure_mode_sensor_analysis

Question: When an abnormal reading is detected by the sensor resistance in electric motor, which failure event is not relevant?

Choices:
- well-to-control-line communication
- loss of buoyancy
- insulation deterioration
- overheating
- brush(es) fault
- external leakage - process medium
- failure while running
- structural deficiency
- high output
- failure to disconnect


failure_mode_sensor_analysis

Question: For electric motor, what is the non-relevant failure event when the sensor resistance has an abnormal reading?

Choices:
- control/ signal failure
- leakage in closed position
- failure to function as intended
- failure in lightning protection system
- internal leakage
- bearing damage
- insulation deterioration
- failure to function on demand
- power/signal transmission failure
- external leakage process medium


failure_mode_sensor_analysis

Question: When an abnormal reading is detected by the sensor resistance in electric motor, which failure event is not relevant?

Choices:
- failure to function on demand
- vibration
- insulation deterioration
- failure to regulate
- external leakage - utility medium
- loss of functions on both pods
- failure to disconnect
- failure to start on demand
- loss of input power phase
- spurious low alarm level


failure_mode_sensor_analysis

Question: For electric motor, what is the non-relevant failure event when the sensor resistance has an abnormal reading?

Choices:
- insulation deterioration
- unbalance
- very low output
- global buckling
- low output
- failure to disconnect
- delayed operation
- control-line-to-well communication
- external leakage - process medium
- internal leakage


failure_mode_sensor_analysis

Question: In electric motor, which failure event is unimportant if the sensor resistance shows an abnormal reading?

Choices:
- structural deficiency
- spurious low alarm level
- sludge build-up
- insulation deterioration
- mooring failure
- abnormal instrument reading
- very low output
- misalignment
- delayed operation
- spurious operation


failure_mode_sensor_analysis

Question: In electric motor, which failure event is unimportant if the sensor partial discharge shows an abnormal reading?

Choices:
- power/signal transmission failure
- external leakage utility medium
- rotor windings fault
- insufficient power
- failure to connect
- insulation deterioration
- parameter deviation
- failure to disconnect
- external leakage - fuel
- slippage


failure_mode_sensor_analysis

Question: When an abnormal reading is detected by the sensor partial discharge in electric motor, which failure event is not relevant?

Choices:
- failure to function as intended
- minor in-service problems
- internal leakage - utility medium
- insulation deterioration
- external leakage - process medium
- faulty output voltage
- leakage in closed position
- vibration
- stator windings fault
- failure to function on demand


failure_mode_sensor_analysis

Question: In electric motor, which failure event is unimportant if the sensor partial discharge shows an abnormal reading?

Choices:
- control-line-to-well communication
- failure to function on demand
- slippage
- failure to disconnect
- control/ signal failure
- insulation deterioration
- no output
- eccentric rotor fault
- failure to cut
- spurious stop


failure_mode_sensor_analysis

Question: When an abnormal reading is detected by the sensor partial discharge in electric motor, which failure event is not relevant?

Choices:
- failure to stop on demand
- failure to open on demand
- parameter deviation
- breakdown
- insulation deterioration
- noise
- brush(es) fault
- spurious low alarm level
- insufficient heat transfer
- failure to disconnect


failure_mode_sensor_analysis

Question: Which failure event should be excluded for electric motor when an abnormal reading is detected by the sensor partial discharge?

Choices:
- insulation deterioration
- breakdown
- minor in-service problems
- external leakage - utility medium
- bearing damage
- premature closure
- external leakage process medium
- failure to cut
- failure to open on demand
- sludge build-up


failure_mode_sensor_analysis

Question: Which failure event is irrelevant for electric motor if there is an abnormal reading from the sensor partial discharge?

Choices:
- failure in lightning protection system
- failure to disconnect
- internal leakage - process medium
- insufficient heat transfer
- insulation deterioration
- abnormal instrument reading
- loss of input power phase
- stuck
- erratic output
- insufficient power


failure_mode_sensor_analysis

Question: In electric motor, which failure event is unimportant if the sensor partial discharge shows an abnormal reading?

Choices:
- failure to function on demand
- insulation deterioration
- structural deficiency
- stuck
- external leakage — utility medium
- failure to open on demand
- global buckling
- spurious high alarm level
- failure to stop on demand
- unbalance


failure_mode_sensor_analysis

Question: Which failure event is irrelevant for electric motor if there is an abnormal reading from the sensor partial discharge?

Choices:
- internal leakage process medium
- power/signal transmission failure
- failure to open on demand
- internal leakage utility medium
- insufficient power
- plugged/ choked
- spurious operation
- misalignment
- insulation deterioration
- spurious low alarm level


failure_mode_sensor_analysis

Question: When the sensor power in electric motor displays an abnormal reading, which failure event is not applicable?

Choices:
- heating failure
- rotor windings fault
- leakage in closed position
- structural deficiency
- insufficient power
- brush(es) fault
- spurious stop
- very low output
- stator windings fault
- high output