Fault Diagnosis Method for Imbalanced Data of Rotating Machinery Based on Time Domain Signal Prediction and SC-ResNeSt.
Haitao WangYifan GuoXiang LiuJie YangXiheng ZhangLichen ShiPublished in: IEEE Access (2023)
Keyphrases
- imbalanced data
- rotating machinery
- frequency domain
- prediction accuracy
- ensemble methods
- linear regression
- fault diagnosis
- ensemble classifier
- class distribution
- fault detection
- decision trees
- support vector machine
- sampling methods
- ensemble learning
- feature selection
- classification models
- non stationary
- feature extraction
- benchmark datasets
- random forest
- neural network
- text classification
- nearest neighbor
- knn
- active learning
- training set
- data streams
- genetic algorithm