Domain-adaptive intelligence for fault diagnosis based on deep transfer learning from scientific test rigs to industrial applications.
Xincheng CaoYu WangBinqiang ChenNianyin ZengPublished in: Neural Comput. Appl. (2021)
Keyphrases
- transfer learning
- industrial applications
- fault diagnosis
- industrial systems
- cross domain
- knowledge transfer
- reinforcement learning
- domain adaptation
- neural network
- algorithmic information theory
- transfer knowledge
- machine learning
- target domain
- artificial intelligence
- active learning
- expert systems
- labeled data
- collaborative filtering
- intelligent systems
- operating conditions
- fault detection
- semi supervised learning
- machine learning algorithms
- multiple faults
- analog circuits
- gas turbine
- rotating machinery
- learning algorithm
- fault detection and diagnosis
- chemical process
- multi sensor information fusion
- text classification
- fuzzy logic
- text mining
- monitoring and fault diagnosis
- power transformers
- text categorization
- test data
- complex systems
- electronic equipment
- data sets