Bearing Fault Diagnosis under Variable Working Conditions Based on Deep Residual Shrinkage Networks and Transfer Learning.
Xinyu YangFulin ChiSiyu ShaoQiang ZhangPublished in: J. Sensors (2021)
Keyphrases
- fault diagnosis
- transfer learning
- monitoring and fault diagnosis
- operating conditions
- knowledge transfer
- expert systems
- fault detection
- machine learning
- reinforcement learning
- neural network
- labeled data
- fault detection and diagnosis
- cross domain
- fuzzy logic
- active learning
- power transformers
- gas turbine
- rotating machinery
- analog circuits
- chemical process
- multiple faults
- collaborative filtering
- electronic equipment
- transfer knowledge
- multi sensor information fusion
- semi supervised learning
- condition monitoring
- text categorization
- text classification
- text mining
- denoising
- information retrieval
- learning algorithm
- unlabeled data
- target domain
- fuzzy theory
- semi supervised
- control system
- training data
- feature selection
- artificial intelligence
- genetic algorithm