A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis.
Lanjun WanLe HuangJiaen NingChangyun LiKeqin LiPublished in: Knowl. Based Syst. (2024)
Keyphrases
- fault diagnosis
- transfer learning
- neural network
- knowledge transfer
- expert systems
- labeled data
- monitoring and fault diagnosis
- fault detection
- bp neural network
- active learning
- fuzzy logic
- electronic equipment
- power transformers
- fault detection and diagnosis
- text classification
- semi supervised learning
- cross domain
- rbf neural network
- machine learning
- chemical process
- multiple faults
- collaborative filtering
- operating conditions
- multi sensor information fusion
- reinforcement learning
- real time
- gas turbine
- unlabeled data
- condition monitoring
- transfer knowledge
- network structure
- analog circuits
- data mining
- text categorization
- computational intelligence
- text mining
- semi supervised
- rotating machinery
- artificial intelligence
- learning algorithm