A High Generalizable Feature Extraction Method Using Ensemble Learning and Deep Auto-Encoders for Operational Reliability Assessment of Bearings.
Xianguang KongYang FuQibin WangHongbo MaXiaodong WuGang MaoPublished in: Neural Process. Lett. (2020)
Keyphrases
- ensemble learning
- reliability assessment
- generalization ability
- ensemble methods
- base classifiers
- random forest
- feature set
- power system
- decision making
- ensemble classifier
- feature vectors
- feature ranking
- weak learners
- concept drift
- feature selection
- training examples
- support vector machine svm
- multi class
- bayesian networks
- software defect prediction