Rolling bearing fault diagnosis method based on generative adversarial enhanced multi-scale convolutional neural network model.
Maoxuan ZhouWei KangKun HePublished in: CoRR (2024)
Keyphrases
- neural network model
- multiscale
- network architecture
- neural network
- monitoring and fault diagnosis
- artificial neural networks
- neural models
- fault diagnosis
- input variables
- using artificial neural networks
- multilayer perceptron
- generative model
- bp neural network
- scale space
- wavelet transform
- multi layer perceptron
- rbf neural network
- multi agent
- deep learning
- back propagation neural network
- sparse coding
- image processing
- image representation
- natural images
- edge detection
- coarse to fine
- wavelet decomposition
- unsupervised learning
- dynamic characteristics
- growing neural gas
- data sets
- hopfield network