Rolling Bearing Fault Diagnosis Based on CEEMDAN and Refined Composite Multiscale Fuzzy Entropy.
Shuzhi GaoQuan WangYimin ZhangPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- monitoring and fault diagnosis
- fuzzy entropy
- fault diagnosis
- multiscale
- fuzzy sets
- fuzzy logic
- membership functions
- neural network
- expert systems
- fault detection
- wavelet transform
- operating conditions
- image processing
- power transformers
- fault detection and diagnosis
- condition monitoring
- gas turbine
- failure diagnosis
- chemical process
- electronic equipment
- rotating machinery
- bp neural network
- electrical power systems
- image segmentation
- artificial intelligence
- industrial systems
- fuzzy rules
- fault detection and isolation
- fault diagnostic
- multi sensor information fusion
- analog circuits
- rough sets
- multiple faults
- power plant
- fuzzy systems
- fuzzy clustering
- pattern recognition
- genetic algorithm