An unsupervised domain adaptation approach with enhanced transferability and discriminability for bearing fault diagnosis under few-shot samples.
Wengang MaYadong ZhangLiang MaRuiqi LiuShan YanPublished in: Expert Syst. Appl. (2023)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- expert systems
- neural network
- fault detection and diagnosis
- fault detection
- rbf neural network
- training samples
- rotating machinery
- bp neural network
- chemical process
- fuzzy logic
- multiple faults
- electronic equipment
- fault identification
- failure diagnosis
- power transformers
- gas turbine
- analog circuits
- industrial systems
- condition monitoring
- operating conditions
- electrical power systems
- soft computing methods
- multi sensor information fusion
- fault detection and isolation
- complex systems
- multiresolution
- fault tree
- artificial neural networks
- steam turbine
- tennessee eastman
- learning algorithm
- genetic algorithm