Intelligent fault diagnosis of rolling bearing based on a deep transfer learning network.
Zhenghong WuHongkai JiangSicheng ZhangXin WangHaidong ShaoHaoxuan DouPublished in: ICPHM (2023)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- transfer learning
- knowledge transfer
- neural network
- industrial systems
- cross domain
- expert systems
- fuzzy logic
- fault detection and diagnosis
- active learning
- gas turbine
- bp neural network
- power transformers
- fault detection
- semi supervised learning
- condition monitoring
- labeled data
- operating conditions
- chemical process
- electronic equipment
- machine learning
- network structure
- machine learning algorithms
- transfer knowledge
- intelligent systems
- multiple faults
- rotating machinery
- rbf neural network
- text classification
- collaborative filtering
- reinforcement learning
- multi sensor information fusion
- decision trees
- genetic algorithm