Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016.
Xiaohan ChenRui YangYihao XueMengjie HuangRoberto FerreroZidong WangPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- transfer learning
- systematic review
- fault diagnosis
- monitoring and fault diagnosis
- empirical studies
- neural network
- expert systems
- knowledge transfer
- labeled data
- active learning
- fault detection and diagnosis
- fault detection
- transfer knowledge
- cross domain
- reinforcement learning
- operating conditions
- machine learning
- fuzzy logic
- power transformers
- text categorization
- rotating machinery
- text classification
- domain adaptation
- unlabeled data
- learning algorithm
- collaborative filtering
- multiple faults
- electronic equipment
- multi sensor information fusion
- condition monitoring
- semi supervised learning
- chemical process
- gas turbine
- machine learning algorithms
- training set
- feature selection
- text mining
- target domain