Boosting efficient attention assisted cyclic adversarial auto-encoder for rotating component fault diagnosis under low label rates.
Jianguo MiaoZihao DengCongying DengChong ChenPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- fault diagnosis
- expert systems
- fault detection
- neural network
- electronic equipment
- bp neural network
- fault detection and diagnosis
- gas turbine
- chemical process
- rbf neural network
- analog circuits
- fault tree
- monitoring and fault diagnosis
- soft computing methods
- power transformers
- fuzzy logic
- class labels
- fault identification
- rotating machinery
- electrical power systems
- data mining
- mathematical model
- industrial systems
- multiresolution
- artificial neural networks