Multi-class fuzzy support matrix machine for classification in roller bearing fault diagnosis.
Haiyang PanHaifeng XuJinde ZhengJin SuJinyu TongPublished in: Adv. Eng. Informatics (2022)
Keyphrases
- multi class
- fault diagnosis
- monitoring and fault diagnosis
- multi class classifier
- multiclass classification
- support vector machine
- fuzzy logic
- binary classifiers
- binary and multi class
- multi class classification
- multiple classes
- cost sensitive
- multi class boosting
- error correcting output codes
- feature selection
- multi class svm
- binary classification problems
- fault detection
- neural network
- multi class svms
- classification accuracy
- binary classification
- pairwise
- chemical process
- protein classification
- multi class problems
- expert systems
- operating conditions
- multi sensor information fusion
- bp neural network
- fuzzy sets
- text classification
- machine learning
- support vector machine svm
- support vector
- probabilistic boosting tree
- kernel logistic regression
- data sets
- feature vectors
- condition monitoring
- fuzzy classification
- binary classification tasks
- feature space
- soft computing
- fuzzy theory
- decision trees
- feature extraction
- vibration signal
- class labels
- multi label classification
- fuzzy rules