A systematic review of deep transfer learning for machinery fault diagnosis.
Chuan LiShaohui ZhangYi QinEdgar EstupinanPublished in: Neurocomputing (2020)
Keyphrases
- transfer learning
- fault diagnosis
- systematic review
- empirical studies
- neural network
- expert systems
- labeled data
- knowledge transfer
- fuzzy logic
- cross domain
- fault detection
- active learning
- multiple faults
- analog circuits
- reinforcement learning
- chemical process
- condition monitoring
- electronic equipment
- fault detection and diagnosis
- machine learning
- power transformers
- gas turbine
- multi sensor information fusion
- text classification
- text mining
- collaborative filtering
- monitoring and fault diagnosis
- semi supervised learning
- operating conditions
- transfer knowledge
- data mining
- rotating machinery
- learning algorithm
- target domain
- information extraction
- training set
- training data
- decision trees
- artificial intelligence
- domain adaptation
- text categorization
- machine learning algorithms