Research Article
Rolling Bearing Fault Diagnosis Based on STFT-Deep Learning and Sound Signals
| Layer 1 | The number of input layer nodes | 6500 | The number of hidden layer nodes | 1000 | Sparsity | 0.1 | Sparsity penalty factor of the loss function | 3 | Weight decay factor of the loss function | 0.003 |
| Layer 2 | The number of input layer nodes | 1000 | The number of hidden layer nodes | 100 | Sparsity | 0.1 | Sparsity penalty factor of the loss function | 3 | Weight decay factor of the loss function | 0.003 |
| Layer 3 | The number of input layer nodes | 100 | The number of hidden layer nodes | 10 | Sparsity | 0.1 | Sparsity penalty factor of the loss function | 3 | Weight decay factor of the loss function | 0.003 |
| Softmax classifier | The number of input layer nodes | 10 | The number of output layer nodes | 4 |
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