Making EEMD more effective in extracting bearing fault features for intelligent bearing fault diagnosis by using blind fault component separation.
Dong WangCai YiKwok Leung TsuiPublished in: J. Intell. Fuzzy Syst. (2018)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- fault detection
- expert systems
- neural network
- industrial systems
- bp neural network
- power transformers
- rotating machinery
- fuzzy logic
- fault detection and diagnosis
- rbf neural network
- multiple faults
- fault isolation
- chemical process
- multi sensor information fusion
- steam turbine
- operating conditions
- analog circuits
- fault detection and isolation
- feature set
- failure diagnosis
- fault tree
- gas turbine
- extracted features
- feature extraction
- condition monitoring
- knowledge based expert systems
- feature vectors
- fault identification
- power plant
- electrical power systems
- real time
- electronic equipment
- artificial intelligence
- tennessee eastman
- genetic algorithm
- high frequency