Fuzzy regular least squares twin support vector machine and its application in fault diagnosis.
Chengjiang ZhouHao LiJintao YangQihua YangLimiao YangShanyou HeXuyi YuanPublished in: Expert Syst. Appl. (2023)
Keyphrases
- fault diagnosis
- least squares
- fuzzy logic
- support vector machine
- expert systems
- fuzzy sets
- incipient fault
- neural network
- fault detection
- monitoring and fault diagnosis
- fault detection and diagnosis
- bp neural network
- chemical process
- fuzzy rules
- rbf neural network
- feature vectors
- membership functions
- fault identification
- electronic equipment
- soft computing methods
- analog circuits
- rotating machinery
- failure diagnosis
- gas turbine
- operating conditions
- soft computing
- support vector machine svm
- feature selection
- fault detection and isolation
- electrical power systems
- tennessee eastman
- multi sensor information fusion
- power transformers
- multiple faults
- condition monitoring
- knn
- fuzzy inference
- fuzzy inference system
- fuzzy systems
- radial basis function
- computational intelligence
- feature space
- industrial systems
- fuzzy classification
- support vector
- training data