Domain adaptation with label-aligned sampling (DALAS) for cross-domain fault diagnosis of rotating machinery under class imbalance.
Jinwook LeeJin Uk KoTaehun KimYong Chae KimJoon Ha JungByeng D. YounPublished in: Expert Syst. Appl. (2024)
Keyphrases
- rotating machinery
- cross domain
- domain adaptation
- class imbalance
- fault diagnosis
- fault detection
- active learning
- target domain
- class distribution
- transfer learning
- sentiment classification
- neural network
- expert systems
- cost sensitive
- text categorization
- multi label
- knowledge transfer
- fuzzy logic
- class labels
- feature selection
- concept drift
- source domain
- labeled data
- collaborative filtering
- power plant
- machine learning
- naive bayes
- multiple sources
- text classification
- decision trees
- knowledge base
- artificial intelligence