Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis.
Yu ZhangDongying HanJinghui TianPeiming ShiPublished in: Knowl. Based Syst. (2023)
Keyphrases
- rotating machinery
- cross domain
- fault diagnosis
- domain adaptation
- fault detection
- target domain
- expert systems
- sentiment classification
- transfer learning
- fuzzy logic
- neural network
- learning tasks
- text categorization
- knowledge transfer
- source domain
- e government
- labeled data
- data mining
- machine learning
- semi supervised
- multiple sources
- sentiment analysis
- power plant
- semi supervised learning
- face recognition
- case study
- feature selection
- genetic algorithm