Scalable and reliable deep transfer learning for intelligent fault detection via multi-scale neural processes embedded with knowledge.
Zhongzhi LiJingqi TuJiacheng ZhuJianliang AiYiqun DongPublished in: CoRR (2024)
Keyphrases
- transfer learning
- fault detection
- knowledge transfer
- industrial processes
- transfer knowledge
- multiscale
- transferring knowledge
- learning tasks
- cross domain
- machine learning
- fault diagnosis
- knowledge sharing
- domain adaptation
- knowledge representation
- fault identification
- semi supervised learning
- active learning
- previously learned
- reinforcement learning
- tennessee eastman
- labeled data
- neural network
- text categorization
- learning algorithm
- expert systems
- prior knowledge
- data mining techniques
- knowledge discovery
- text classification
- artificial intelligence
- machine learning algorithms
- fuel cell
- robust fault detection
- multi task
- collaborative filtering
- power plant
- artificial neural networks
- intelligent systems
- data mining
- databases