Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis.
Chuanjiang LiShaobo LiHuan WangFengshou GuAndrew D. BallPublished in: Knowl. Based Syst. (2023)
Keyphrases
- fine grained
- fault diagnosis
- transfer learning
- coarse grained
- expert systems
- knowledge transfer
- neural network
- fault detection
- labeled data
- semi supervised learning
- reinforcement learning
- power transformers
- active learning
- access control
- fuzzy logic
- machine learning
- operating conditions
- fault detection and diagnosis
- text classification
- transfer knowledge
- multiple faults
- chemical process
- cross domain
- unlabeled data
- multi sensor information fusion
- machine learning algorithms
- text categorization
- collaborative filtering
- analog circuits
- monitoring and fault diagnosis
- databases
- high dimensional
- high level
- learning algorithm
- information retrieval
- data mining
- cross lingual
- text mining
- recommender systems
- data lineage