Research Article
Optimal Statistical Feature Subset Selection for Bearing Fault Detection and Severity Estimation
Table 4
Dataset B for fault severity detection.
| Class | Fault type | Fault size | No. of train samples | No. of test samples |
| Normal | — | — | 2663 | 651 | IR 007 | Inner race | 0.007″ | 1135 | 292 | IR 014 | Inner race | 0.014″ | 1139 | 277 | IR 021 | Inner race | 0.021″ | 1152 | 269 | IR 028 | Inner race | 0.028″ | 373 | 98 | OR 007 | Outer race | 0.007″ | 1158 | 267 | OR 014 | Outer race | 0.014″ | 1126 | 296 | OR 021 | Outer race | 0.021″ | 1134 | 291 | BB 007 | Ball bearing | 0.007″ | 1131 | 288 | BB 014 | Ball bearing | 0.014″ | 1136 | 289 | BB 021 | Ball bearing | 0.021″ | 1125 | 299 | BB 028 | Ball bearing | 0.028″ | 376 | 95 |
| | Total | | 13648 | 3412 |
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