A digital twin-driven approach for partial domain fault diagnosis of rotating machinery.
Jingyan XiaZhuyun ChenJiaxian ChenGuolin HeRuyi HuangWeihua LiPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- rotating machinery
- fault diagnosis
- fault detection
- expert systems
- fuzzy logic
- fault detection and diagnosis
- neural network
- power transformers
- monitoring and fault diagnosis
- fault detection and isolation
- operating conditions
- analog circuits
- chemical process
- multiple faults
- electronic equipment
- bp neural network
- gas turbine
- industrial systems
- fault identification
- failure diagnosis
- rbf neural network
- industrial processes
- condition monitoring
- tennessee eastman
- genetic algorithm