A novel deep clustering network using multi-representation autoencoder and adversarial learning for large cross-domain fault diagnosis of rolling bearings.
Haoran WenWei GuoXiang LiPublished in: Expert Syst. Appl. (2023)
Keyphrases
- fault diagnosis
- cross domain
- monitoring and fault diagnosis
- learning algorithm
- expert systems
- learning process
- unsupervised learning
- learning tasks
- knowledge transfer
- machine learning
- fault detection and diagnosis
- condition monitoring
- operating conditions
- fault detection
- rbf neural network
- reinforcement learning
- artificial intelligence
- feature space
- genetic algorithm
- neural network
- supervised learning
- fuzzy logic
- data points
- chemical process
- rotating machinery
- active learning