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Engine rpm
int64
Lub oil pressure
float64
Fuel pressure
float64
Coolant pressure
float64
Coolant temp
float64
Engine Condition
int64
774
2.431403
4.415033
2.772102
85.327622
0
437
4.105411
7.999949
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1.850124
5.981534
2.866207
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594
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87.805541
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90.870701
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0.763296
81.19781
1
1,138
2.88886
12.926534
1.904225
79.41898
0
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2.085242
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3.621526
67.664799
1
1,305
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525
4.571709
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78.712955
1
1,127
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1.689233
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4.903834
1.382703
87.968572
1
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4.103445
4.816153
2.675636
88.370231
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432
2.343959
10.064375
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79.570907
1
453
2.587314
10.342068
3.146921
85.148984
1
930
3.178996
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1
1,245
4.016101
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1
457
3.560819
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88.888186
1
649
4.440848
14.881286
1.553337
70.07719
1
823
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10.338044
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750
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1.294612
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1
552
3.642421
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80.387335
1
1,094
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0
498
1.889265
12.086345
3.245452
91.180562
1
838
4.443468
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1.730793
86.314343
1
1,266
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11.87845
1.610832
76.866004
1
815
3.422209
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4.016754
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1
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0
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79.156676
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2.981941
11.245539
2.724376
92.014862
1
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2.691592
13.97572
2.441019
79.613134
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398
4.027409
10.782834
3.452318
76.585463
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532
4.799351
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69.575538
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433
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71.19539
1
1,204
3.401066
6.446009
2.684397
74.840314
1
1,036
5.575966
4.540205
0.433955
82.055699
0
1,314
2.821013
4.854731
1.61106
78.573389
0
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2.971412
2.595394
1.719789
78.369835
1
1,046
2.299535
5.860466
2.041204
76.233353
1
633
3.270641
5.198359
1.570229
88.19792
1
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0.522123
7.794847
3.457653
83.344287
0
1,221
3.358881
7.386152
1.733297
68.157528
0
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4.531784
6.711863
1.153552
65.551755
1
685
2.135644
6.553195
2.871375
77.517881
1
681
3.563244
3.082272
1.643047
82.618019
1
489
2.391037
8.914555
2.039664
75.790341
1
701
2.894352
5.755448
0.751676
82.131702
0
1,019
3.990966
2.288702
2.610204
85.330727
0
1,384
2.181792
3.698334
2.207523
89.072566
1
663
3.759915
3.330879
1.026883
86.668142
0
975
3.151469
12.127887
1.241194
84.147246
0
584
2.733812
18.168402
2.968318
76.383151
1
529
3.697769
6.329355
3.52642
74.772981
1
606
2.127442
7.11174
1.915011
90.892712
0
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Predictive Maintenance Final Dataset

This dataset contains engine sensor readings used to predict maintenance requirements.

Dataset Structure

The repository includes:

  • engine_data.csv: The raw sensor data.
  • split_data/: Preprocessed training and testing sets.
  • models/: The trained Random Forest model.
  • deployment/: Configuration files for Flask and Docker deployment.
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