Rolling bearing fault diagnosis under variable working conditions using deep convolutional fuzzy system.
Keheng ZhuShunming ZhouLiang ChenBangping GuXiong HuPublished in: Trans. Inst. Meas. Control (2024)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- fuzzy logic
- operating conditions
- fault detection
- deep learning
- fuzzy sets
- neural network
- expert systems
- membership functions
- bp neural network
- fault detection and diagnosis
- condition monitoring
- fuzzy rules
- fault tree
- electronic equipment
- fault identification
- multiple faults
- chemical process
- gas turbine
- power transformers
- rotating machinery
- fuzzy numbers
- incipient fault
- machine learning
- multi sensor information fusion
- analog circuits
- fuzzy classifier
- decision making
- computational intelligence
- power plant
- fuzzy neural network
- fuzzy inference system
- fuzzy logic controller
- fault detection and isolation
- industrial applications
- soft computing methods
- fuzzy systems
- rbf neural network
- soft computing
- dempster shafer evidence theory
- fuzzy clustering
- fuzzy inference
- fuzzy theory