Rotating Machinery Fault Diagnosis for Imbalanced Data Based on Fast Clustering Algorithm and Support Vector Machine.
Xiaochen ZhangDongxiang JiangTe HanNanfei WangWenguang YangYizhou YangPublished in: J. Sensors (2017)
Keyphrases
- rotating machinery
- imbalanced data
- support vector machine
- fault diagnosis
- clustering algorithm
- fault detection
- svm classifier
- expert systems
- neural network
- classification algorithm
- multi class
- support vector
- k nearest neighbor
- support vector machine svm
- machine learning
- feature vectors
- bp neural network
- feature selection
- generalization ability
- training data
- training set
- radial basis function
- decision boundary
- ensemble classifier
- k means
- minority class
- fuzzy logic
- knn
- power plant
- fuzzy clustering
- control system
- class imbalance
- fuzzy sets
- support vectors
- artificial intelligence