Bearing Fault Diagnosis Under Variable Working Conditions Based on Domain Adaptation Using Feature Transfer Learning.
Zhe TongWei LiBo ZhangFan JiangGongbo ZhouPublished in: IEEE Access (2018)
Keyphrases
- domain adaptation
- fault diagnosis
- transfer learning
- monitoring and fault diagnosis
- target domain
- cross domain
- labeled data
- manifold alignment
- expert systems
- source domain
- learning tasks
- neural network
- knowledge transfer
- active learning
- reinforcement learning
- semi supervised learning
- machine learning
- fuzzy logic
- transfer knowledge
- machine learning algorithms
- cross domain text classification
- text classification
- collaborative filtering
- concept space
- unlabeled data
- test data
- text categorization
- text mining
- semi supervised
- training data
- learning algorithm
- cross lingual
- data sets
- nearest neighbor
- training set
- databases