Research Article
Bearing Remaining Useful Life Prediction Based on AdCNN and CWGAN under Few Samples
Table 5
Details of the CWGAN networks in this experiment.
| | Layer | Dimension | Activation | Number of training parameters |
| | G_Input | 101 | — | — | | G_h1 | 128 | ReLu | 13056 | | G_h2 | 200 | ReLu | 25800 | | G_output | 1280 | Sigmoid | 257280 | | D _Input | 1281 | — | — | | D_h1 | 128 | ReLu | 163968 | | D_h2 | 256 | ReLu | 33024 | | D_output | 1 | — | 512 |
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