Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data.
Gecheng ChenZeyu YangChengwen LuoJianqiang LiPublished in: CoRR (2024)
Keyphrases
- domain adaptation
- fault diagnosis
- imbalanced data
- chemical process
- neural network
- class distribution
- semi supervised
- expert systems
- multiple sources
- cross domain
- target domain
- labeled data
- bp neural network
- fuzzy logic
- ensemble methods
- semi supervised learning
- unlabeled data
- linear regression
- support vector machine
- transfer learning
- feature selection
- base classifiers
- test data
- data sets
- learning tasks
- knowledge discovery
- knowledge base