A deep learning-based approach for fault diagnosis of current-carrying ring in catenary system.
Yuwen ChenBin SongYuan ZengXiaojiang DuMohsen GuizaniPublished in: Neural Comput. Appl. (2023)
Keyphrases
- fault diagnosis
- deep learning
- fault detection
- expert systems
- neural network
- chemical process
- fuzzy logic
- monitoring and fault diagnosis
- fault detection and diagnosis
- multiple faults
- bp neural network
- electronic equipment
- rotating machinery
- gas turbine
- unsupervised learning
- unsupervised feature learning
- power transformers
- condition monitoring
- multi sensor information fusion
- operating conditions
- rbf neural network
- analog circuits
- power plant
- pattern recognition
- genetic algorithm
- machine learning
- mental models
- maximum likelihood
- active learning
- reinforcement learning
- face recognition
- tennessee eastman
- real time