Research Article
Rolling Bearing Fault Diagnosis Based on Domain Adaptation and Preferred Feature Selection under Variable Working Conditions
Table 2
The introduction of experimental data.
| Fault condition | Fault size (mm) | Number of training samples | Number of testing samples | Class label | 2 hp | 2 hp (case 1) | 3 hp (case 2) |
| Normal | 0 | 20 | 40 | 40 | 1 |
| Ball fault | 0.007 | 20 | 40 | 40 | 2 | 0.014 | 20 | 40 | 40 | 3 | 0.021 | 20 | 40 | 40 | 4 | 0.028 | 20 | 40 | 40 | 5 |
| Inner race fault | 0.007 | 20 | 40 | 40 | 6 | 0.014 | 20 | 40 | 40 | 7 | 0.021 | 20 | 40 | 40 | 8 | 0.028 | 20 | 40 | 40 | 9 |
| Outer race fault | 0.007 | 20 | 40 | 40 | 10 | 0.014 | 20 | 40 | 40 | 11 | 0.021 | 20 | 40 | 40 | 12 | Number of samples | ā | 240 | 480 | 480 | ā |
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