Research Article
Deep Domain Adaptation Model for Bearing Fault Diagnosis with Riemann Metric Correlation Alignment
Table 3
Precision, Recall, and F-Measure of the proposed RMCA-1DCNN on six domain shifts.
| | Fault location | N | RF | IF | OF |
| | Fault diameter (inch) | | 0.007 | 0.014 | 0.021 | 0.007 | 0.014 | 0.021 | 0.007 | 0.014 | 0.021 | | Category labels | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| | Precision | | A ⟶ B | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | | A ⟶ C | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | | B ⟶ C | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | | C ⟶ B | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | | C ⟶ A | 100% | 83% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | | B ⟶ A | 100% | 89% | 100% | 100% | 93% | 100% | 100% | 100% | 100% | 100% |
| | Recall | | A ⟶ B | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | | A ⟶ C | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | | B ⟶ C | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | | C ⟶ B | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | 100% | | C ⟶ A | 100% | 100% | 100% | 80% | 100% | 100% | 100% | 100% | 100% | 100% | | B ⟶ A | 100% | 100% | 100% | 80% | 100% | 100% | 100% | 100% | 100% | 100% |
| | F-Measure | | A ⟶ B | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | | A ⟶ C | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | | B ⟶ C | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | | C ⟶ B | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | | C ⟶ A | 1 | 0.9091 | 1 | 0.8889 | 1 | 1 | 1 | 1 | 1 | 1 | | B ⟶ A | 1 | 0.9434 | 1 | 0.8889 | 0.9615 | 1 | 1 | 1 | 1 | 1 |
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