A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition.
Zhongwei ZhangHuaihai ChenShunming LiZenghui AnJinrui WangPublished in: Neurocomputing (2020)
Keyphrases
- fault diagnosis
- domain adaptation
- industrial systems
- neural network
- expert systems
- cross domain
- operating conditions
- fault detection
- semi supervised
- multiple sources
- fuzzy logic
- fault detection and diagnosis
- analog circuits
- electronic equipment
- monitoring and fault diagnosis
- labeled data
- chemical process
- semi supervised learning
- gas turbine
- test data
- document classification
- power transformers
- multiple faults
- sentiment classification
- transfer learning
- multi sensor information fusion
- target domain
- support vector
- co training
- unlabeled data
- support vector machine
- covariate shift
- active learning
- decision trees