An axiomatic fuzzy set theory-based fault diagnosis approach for rolling bearings.
Xin WangHan Lin LiuWan Kang ZhaiHong Peng ZhangShu Yao ZhangPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- fuzzy set theory
- fault diagnosis
- monitoring and fault diagnosis
- fuzzy logic
- condition monitoring
- vibration signal
- fuzzy sets
- fault detection
- neural network
- expert systems
- rough set theory
- interval valued fuzzy sets
- electronic equipment
- control system
- power transformers
- operating conditions
- soft computing
- fault detection and diagnosis
- rotating machinery
- bp neural network
- computational intelligence
- decision making
- multiple faults
- chemical process
- industrial systems
- gas turbine
- electrical power systems
- membership functions
- fuzzy numbers
- fault diagnostic
- analog circuits
- artificial intelligence
- multiscale
- genetic algorithm
- rough sets
- back propagation
- real time
- multi sensor information fusion
- machine learning
- pattern recognition
- wavelet transform
- fuzzy inference
- steady state
- power plant
- information fusion