An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery.
Jipu LiXiaoge ZhangKe YueJunbin ChenZhuyun ChenWeihua LiPublished in: Expert Syst. Appl. (2024)
Keyphrases
- domain adaptation
- rotating machinery
- cross domain
- multiple sources
- semi supervised
- fault detection
- expert systems
- sentiment classification
- labeled data
- decision making
- domain specific
- transfer learning
- test data
- artificial intelligence
- target domain
- semi supervised learning
- manifold alignment
- neural network
- training data
- feature extraction
- decision trees
- information retrieval