A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier.
Shenghan ZhouSilin QianWenbing ChangYiyong XiaoYang ChengPublished in: Sensors (2018)
Keyphrases
- fault diagnosis
- ensemble classifier
- monitoring and fault diagnosis
- mining concept drifting data streams
- neural network
- ensemble learning
- support vector machine
- random forest
- expert systems
- concept drift
- fault detection
- support vector machine svm
- feature selection
- fusion method
- ensemble methods
- fuzzy logic
- base classifiers
- bp neural network
- multi sensor information fusion
- chemical process
- feature space
- support vector
- preprocessing step
- operating conditions
- multi class
- classification models
- classification algorithm
- svm classifier
- cost sensitive
- data fusion
- semi supervised learning
- knn
- knowledge base
- decision making
- machine learning