Review Article
Application of Rotating Machinery Fault Diagnosis Based on Deep Learning
Table 4
Summary of fault diagnosis based on optimization algorithm and CNN mode.
| References | Optimization and improvement |
| [111] | Particle swarm optimization (PSO)/principal component analysis (PCA) | [112] | Wide first-layer kernel/small convolutional kernels/AdaBN algorithm | [113] | Training intervention/end-to-end CNN | [114] | Large-size kernel function and nonlinear function to filter noise | [115] | Multilayer noise reduction/attention mechanism | [116] | Multichannel weighted convolutional neural networks | [117] | Layered deep convolutional neural networks | [118] | 11 transitional convolution layer/global mean pooling layer | [118, 119] | Using SVM instead of Softmax classifier | [120] | Depth CNN of the pool layer is ignored |
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