Prediction of Bearings Remaining Useful Life Across Working Conditions Based on Transfer Learning and Time Series Clustering.
Wentao MaoJianliang HeBin SunLiyun WangPublished in: IEEE Access (2021)
Keyphrases
- transfer learning
- knowledge transfer
- learning tasks
- cross domain
- labeled data
- reinforcement learning
- semi supervised learning
- machine learning
- domain adaptation
- structure learning
- multi task learning
- machine learning algorithms
- text categorization
- text classification
- active learning
- target domain
- transfer knowledge
- multi task
- collaborative filtering
- prediction model
- transferring knowledge
- learning algorithm
- manifold alignment
- algorithmic information theory
- neural network
- unlabeled data
- nearest neighbor
- decision trees
- real world