Research Article
Deep Transfer Learning Method Based on 1D-CNN for Bearing Fault Diagnosis
Table 3
Classification accuracy (%) of various conditions.
| Transfer condition | Source domain accuracy (%) | Target domain accuracy (%) |
| A ⟶ B | 100 | 98.50 | B ⟶ A | 100 | 98.33 | A ⟶ C | 100 | 99.07 | C ⟶ A | 100 | 98.40 | A ⟶ D | 100 | 99.00 | D ⟶ A | 100 | 93.87 | B ⟶ C | 100 | 99.53 | C ⟶ B | 100 | 97.67 | B ⟶ D | 100 | 98.40 | D ⟶ B | 100 | 95.20 | C ⟶ D | 100 | 98.93 | D ⟶ C | 100 | 97.20 | AVG | 100 | 97.85 |
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