A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains.
Xingqiu LiHongkai JiangMin XieTongqing WangRuixin WangZhenghong WuPublished in: Adv. Eng. Informatics (2022)
Keyphrases
- transfer learning
- fault diagnosis
- monitoring and fault diagnosis
- multi source
- reinforcement learning
- data fusion
- neural network
- cross domain
- information fusion
- target domain
- transferring knowledge
- labeled data
- expert systems
- multiple sources
- transfer knowledge
- machine learning
- learning algorithm
- fault detection
- machine learning algorithms
- active learning
- fuzzy logic
- semi supervised learning
- data sources
- data integration
- databases
- text classification
- text categorization
- unlabeled data
- collaborative filtering
- training data
- knowledge base
- data mining
- text mining
- real world
- database systems