Xu-Jing Tian

Fault Diagnosis Method Based on Convolutional Attention Mecha-nism and ResNet34

To solve the problem of network degradation caused by blind stacking of convolutional layers, and to further improve the feature extraction ability of deep learning models for gear small sample fault signals, a fault diagnosis method based on LW-DCGAN and C-ResNet34 models is proposed. Firstly, the LW-DCGAN model is...