Deep transfer learning based on Bi-LSTM and attention for remaining useful life prediction of rolling bearing.
Shaojiang DongJiafeng XiaoXiaolin HuNengwei FangLanhui LiuJinbao YaoPublished in: Reliab. Eng. Syst. Saf. (2023)
Keyphrases
- transfer learning
- learning tasks
- knowledge transfer
- labeled data
- monitoring and fault diagnosis
- cross domain
- reinforcement learning
- transfer knowledge
- domain adaptation
- machine learning
- active learning
- semi supervised learning
- text categorization
- collaborative filtering
- structure learning
- machine learning algorithms
- manifold alignment
- prediction model
- multi task
- multi task learning
- recurrent neural networks
- text classification
- transferring knowledge
- neural network
- learning algorithm
- data mining
- semi supervised
- knowledge discovery