Research Article
Rolling Bearing Fault Diagnosis Based on Sensitive Feature Transfer Learning and Local Maximum Margin Criterion under Variable Working Condition
Table 17
The detailed information of the first group dataset.
| Bearing condition | Defect diameter (mm) | Number of training samples | Number of testing samples | Class label | 1800 tr/min | 1800 tr/min (case 1) | 1200 tr/min (case 2) |
| Normal | 0 | 20 | 40 | 40 | 1 |
| Ball fault | 0.05 | 20 | 40 | 40 | 2 | 0.1 | 20 | 40 | 40 | 3 | 0.2 | 20 | 40 | 40 | 4 |
| Inner race fault | 0.05 | 20 | 40 | 40 | 5 | 0.1 | 20 | 40 | 40 | 6 | 0.2 | 20 | 40 | 40 | 7 |
| Outer race fault | 0.05 | 20 | 40 | 40 | 8 | 0.1 | 20 | 40 | 40 | 9 | 0.2 | 20 | 40 | 40 | 10 |
| Number of samples | | 240 | 480 | 480 | |
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