A novel intelligent identification approach based on modified hierarchical diversity entropy and extension theory for diagnosis of rotating machinery faults.
Hongping GeHuaying LiuYun LuoPublished in: J. Intell. Fuzzy Syst. (2023)
Keyphrases
- rotating machinery
- fault diagnosis
- fault detection
- fault detection and diagnosis
- fault identification
- information theory
- multiple faults
- neural network
- expert systems
- model based diagnosis
- fault detection and isolation
- mutual information
- fault localization
- condition monitoring
- multiscale
- theoretical basis
- theoretical framework
- artificial intelligence
- medical diagnosis
- fault isolation
- fuzzy logic
- causal reasoning
- decision trees
- information entropy
- power plant
- source code
- intelligent systems
- hierarchical structure