Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data.
Zenghui AnXingxing JiangJing CaoRui YangXuegang LiPublished in: Knowl. Based Syst. (2021)
Keyphrases
- fault diagnosis
- rotating machinery
- imbalanced data
- neural network
- fault detection
- bp neural network
- fuzzy neural network
- linear regression
- expert systems
- ensemble methods
- feature selection
- analog circuits
- fuzzy logic
- random forest
- class imbalance
- back propagation
- unsupervised learning
- sampling methods
- class distribution
- active learning
- classification models
- decision trees
- intelligent systems
- supervised learning
- artificial neural networks
- pattern recognition
- training data
- semi supervised learning
- genetic algorithm
- real time
- class labels
- base classifiers
- soft computing
- neural network model
- svm classifier
- power plant
- training samples
- decision boundary
- unlabeled data
- labeled data
- fuzzy sets
- feature extraction