A residual convolution transfer framework based on slow feature for cross-domain machinery fault diagnosis.
Shubin ChenWeishi ZhengHua XiaoPeng HanKaiqing LuoPublished in: Neurocomputing (2023)
Keyphrases
- cross domain
- fault diagnosis
- knowledge transfer
- transfer learning
- domain adaptation
- text categorization
- expert systems
- gas turbine
- neural network
- chemical process
- fuzzy logic
- cross domain learning
- multiple faults
- condition monitoring
- fault detection
- machine learning
- electronic equipment
- target domain
- labeled data
- analog circuits
- fault detection and diagnosis
- semi supervised
- feature vectors
- data mining