Domain Adaptive Motor Fault Diagnosis Using Deep Transfer Learning.
Dengyu XiaoYixiang HuangLujie ZhaoChengjin QinHaotian ShiChengliang LiuPublished in: IEEE Access (2019)
Keyphrases
- transfer learning
- fault diagnosis
- cross domain
- target domain
- domain adaptation
- neural network
- expert systems
- knowledge transfer
- fault detection
- fuzzy logic
- active learning
- transfer knowledge
- operating conditions
- labeled data
- machine learning
- collaborative filtering
- fault detection and diagnosis
- monitoring and fault diagnosis
- multiple faults
- gas turbine
- electronic equipment
- reinforcement learning
- power transformers
- rotating machinery
- multi sensor information fusion
- condition monitoring
- chemical process
- text classification
- learning algorithm
- multi task
- text categorization
- semi supervised learning
- analog circuits
- machine learning algorithms
- control system
- decision making
- supervised learning
- feature extraction
- decision trees
- artificial intelligence
- data mining