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