Self-driven continual learning for class-added motor fault diagnosis based on unseen fault detector and propensity distillation.
Ao DingXiaojian YiYong QinBiao WangPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- fault diagnosis
- fault detection
- neural network
- expert systems
- fuzzy logic
- bp neural network
- power transformers
- operating conditions
- fault detection and diagnosis
- gas turbine
- learning algorithm
- control system
- fault tree
- rotating machinery
- fault detection and isolation
- multiple faults
- real time
- electrical power systems
- fault identification
- industrial systems
- failure diagnosis
- analog circuits
- condition monitoring
- data mining