A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing.
Xiaoan YanMinping JiaPublished in: Neurocomputing (2018)
Keyphrases
- classification algorithm
- monitoring and fault diagnosis
- fault diagnosis
- multi domain
- input features
- knn
- support vector machine
- k nearest neighbor
- expert systems
- training set
- cross domain
- neural network
- domain specific
- naive bayes
- fault detection
- class labels
- classification method
- fuzzy logic
- learning algorithm
- bp neural network
- feature set
- operating conditions
- chemical process
- multi sensor information fusion
- support vector machine svm
- concept drift
- feature vectors
- nearest neighbor
- condition monitoring
- text categorization
- unsupervised learning
- multiple features
- decision trees
- analog circuits
- decision making