Deep Transfer Learning Network for Fault Diagnosis Under Variable Working Conditions.
Yiyao AnKe ZhangQie LiuYi ChaiXinghua HuangPublished in: CAA SAFEPROCESS (2021)
Keyphrases
- fault diagnosis
- transfer learning
- operating conditions
- knowledge transfer
- fault detection
- neural network
- chemical process
- expert systems
- multiple faults
- fault detection and diagnosis
- labeled data
- electronic equipment
- bp neural network
- machine learning
- analog circuits
- active learning
- gas turbine
- fuzzy logic
- rbf neural network
- power transformers
- monitoring and fault diagnosis
- reinforcement learning
- power plant
- cross domain
- condition monitoring
- network structure
- semi supervised learning
- transfer knowledge
- collaborative filtering
- rotating machinery
- multi sensor information fusion
- text classification
- text categorization
- support vector
- learning algorithm