Research Article
A Multirate Sensor Information Fusion Strategy for Multitask Fault Diagnosis Based on Convolutional Neural Network
Table 2
Summary of the submodel of MRSIFS using 2D CNN for feature extraction.
| | Network structure | Layers | In_channels | Out_channels | Kernel_size | Stride | Padding |
| | Input layer | Conv2D | 7 | 16 | 7 | 2 | 3 | | MaxPool | | | 3 | 2 | 1 | | Downsampling layer | Conv2D | 16 | 16 | 1 | 1 | 0 | | Conv2D | 16 | 16 | 3 | 1 | 1 | | Conv2D | 16 | 64 | 1 | 1 | 0 | | Conv2D | 64 | 16 | 1 | 1 | 0 | | Conv2D | 16 | 16 | 3 | 1 | 1 | | Conv2D | 16 | 64 | 1 | 1 | 0 | | Smooth layer | Conv2D | 64 | 64 | 1 | 1 | 0 | | Upsampling layer | “Bilinear” | | | | | | | Output layer | Conv2D | 64 | 32 | 1 | 1 | 0 | | MaxPool | 4 | 4 | 0 | | Dropout () |
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