Research Article
A Deep Transfer Learning Method for Bearing Fault Diagnosis Based on Domain Separation and Adversarial Learning
Table 1
Network parameters of the domain-difference feature extractors.
| | Layer name | Kernel size/stride | Channel | Output size | Structure |
| | Input | — | 1 | 1 × 1,297 | — | | Conv 1 | 7/3 | 32 | 1 × 431 | — | | Max pool | 3/2 | 32 | 1 × 215 | — | | Conv 2 | 5/3 | 64 | 1 × 71 | — | | Block 3 | 3 | 64 | 1 × 35 | | | Block 4 | 3 | 96 | 1 × 17 | | | Block 5 | 3 | 128 | 1 × 8 | |
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