Research Article
A New Generative Neural Network for Bearing Fault Diagnosis with Imbalanced Data
Table 4
Configuration of the GCNN.
| Layer name | Layer configuration |
| Convolution layer 1 | 3 × 3, 32 | Max pooling layer 1 | 2 × 2, stride 2 | Convolution layer 2 | 3 × 3, 64 | Max pooling layer 2 | 2 × 2, stride 2 | Convolution layer 3 | 3 × 3, 128 | Max pooling layer 3 | 2 × 2, stride 2 | Convolution layer 4 | 3 × 3, 256 | Upsample 1 | 3 × 3, 128 | Merge 1 | — | Convolution layer 5 | 3 ×v3, 64 | Upsample 2 | 3 × 3, 64 | Merge 2 | — | Convolution layer 6 | 3 × 3, 32 | Upsample 3 | 3 × 3, 32 | Merge 3 | — | Convolution layer 7 | 3 × 3, 32 | Flatten layer | — | Softmax layer | 10 (or 4 or 16) |
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