Central moment discrepancy based domain adaptation for intelligent bearing fault diagnosis.
Xudong LiYang HuJianhua ZhengMingtao LiWenzhen MaPublished in: Neurocomputing (2021)
Keyphrases
- domain adaptation
- fault diagnosis
- monitoring and fault diagnosis
- industrial systems
- cross domain
- expert systems
- semi supervised
- neural network
- fault detection and diagnosis
- fuzzy logic
- labeled data
- multiple sources
- fault detection
- semi supervised learning
- chemical process
- target domain
- transfer learning
- intelligent systems
- electronic equipment
- condition monitoring
- analog circuits
- multiple faults
- sentiment classification
- document classification
- test data
- co training
- operating conditions
- power transformers
- support vector
- multi sensor information fusion
- feature representation
- gas turbine
- supervised learning
- prior knowledge
- training data