Adversarial multi-domain adaptation for machine fault diagnosis with variable working conditions.
Qi LiShuangjie LiuBingru YangYiyun XuLiang ChenChangqing ShenPublished in: INDIN (2020)
Keyphrases
- fault diagnosis
- domain adaptation
- operating conditions
- neural network
- expert systems
- fault detection and diagnosis
- fault detection
- monitoring and fault diagnosis
- chemical process
- fuzzy logic
- multiple sources
- electronic equipment
- multiple faults
- cross domain
- gas turbine
- semi supervised learning
- semi supervised
- condition monitoring
- target domain
- labeled data
- sentiment classification
- transfer learning
- power transformers
- analog circuits
- document classification
- machine learning
- unlabeled data
- multi sensor information fusion
- text mining
- data sets
- information extraction
- learning process
- feature vectors
- decision trees