Research Article
A Deep Domain-Adversarial Transfer Fault Diagnosis Method for Rolling Bearing Based on Ensemble Empirical Mode Decomposition
Table 3
Experiment datasets of bearing.
| | Power | Normal | Inner race | Outer race | Rolling ball | Damage (mm) | — | — | 0.007 | 0.014 | 0.021 | 0.028 | 0.007 | 0.014 | 0.021 | 0.007 | 0.014 | 0.021 | 0.028 |
| Label | — | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | Dataset A | 0HP | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | Dataset B | 1HP | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | Dataset C | 2HP | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | Dataset D | 3HP | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 |
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