Rotating Machinery Bearing Fault Diagnosis via Transfer Learning Based on Subdomain Adaptation.
Nguyen Thi HueVu Manh KhoiDang Nhat DucDao Duc ThinhTran Thi ThaoHoang Si HongPublished in: ICCAIS (2023)
Keyphrases
- rotating machinery
- transfer learning
- fault diagnosis
- monitoring and fault diagnosis
- fault detection
- knowledge transfer
- machine learning
- neural network
- fuzzy logic
- expert systems
- active learning
- labeled data
- text categorization
- operating conditions
- fault detection and diagnosis
- reinforcement learning
- semi supervised learning
- collaborative filtering
- cross domain
- gas turbine
- power transformers
- condition monitoring
- domain adaptation
- chemical process
- multiple faults
- multi sensor information fusion
- target domain
- power plant
- machine learning algorithms
- transfer knowledge
- knowledge discovery
- soft computing
- data analysis
- training data
- genetic algorithm