Inverse physics-informed neural networks for digital twin-based bearing fault diagnosis under imbalanced samples.
Yi QinHongyu LiuYi WangYongfang MaoPublished in: Knowl. Based Syst. (2024)
Keyphrases
- fault diagnosis
- neural network
- monitoring and fault diagnosis
- expert systems
- fault detection
- fuzzy logic
- industrial systems
- fault detection and diagnosis
- bp neural network
- condition monitoring
- fault identification
- rbf neural network
- analog circuits
- fault detection and isolation
- electronic equipment
- rotating machinery
- power transformers
- artificial intelligence
- operating conditions
- multiple faults
- artificial neural networks
- training set
- computer science
- chemical process
- multi sensor information fusion
- gas turbine
- bp algorithm
- power plant
- back propagation
- training samples
- circuit design
- minority class
- neural network model
- electrical power systems