Research Article
Fault Diagnosis of Rotating Machinery Based on One-Dimensional Deep Residual Shrinkage Network with a Wide Convolution Layer
Table 6
The network parameters of the 1D-WDRSN model.
| No. | Layer type | Kernel size | Kernel number | Output size (Width×Depth) |
| 1 | Conv1d_1 | 256 × 1 | 48 | 512 × 48 | 2 | RBU_1_Conv_1 | 16 × 1 | 48 | 256 × 48 | 3 | RBU_1_Conv_2 | 16 × 1 | 48 | 256 × 48 | 4 | RBU_2_Conv_1 | 16 × 1 | 48 | 128 × 48 | 5 | RBU_2_Conv_2 | 16 × 1 | 48 | 128 × 48 | 6 | Softmax | 10 | 1 | 10 |
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