A novel deep stacking least squares support vector machine for rolling bearing fault diagnosis.
Xin LiYu YangHaiyang PanJian ChengJunsheng ChengPublished in: Comput. Ind. (2019)
Keyphrases
- monitoring and fault diagnosis
- least squares support vector machine
- fault diagnosis
- ls svm
- rbf neural network
- bp neural network
- neural network
- expert systems
- fault detection
- fault detection and diagnosis
- fuzzy logic
- least squares
- power transformers
- condition monitoring
- operating conditions
- small sample
- analog circuits
- prediction model
- chemical process
- base classifiers
- control system
- support vector machine
- svm classifier
- clustering algorithm
- model selection
- rough sets
- machine learning