Cross-domain fault diagnosis of bearing using improved semi-supervised meta-learning towards interference of out-of-distribution samples.
Jian LinHaidong ShaoZhishan MinJingjie LuoYiming XiaoShen YanJian ZhouPublished in: Knowl. Based Syst. (2022)
Keyphrases
- fault diagnosis
- meta learning
- cross domain
- monitoring and fault diagnosis
- semi supervised
- learning tasks
- transfer learning
- inductive learning
- expert systems
- labeled data
- semi supervised learning
- knowledge transfer
- text categorization
- neural network
- model selection
- fuzzy logic
- machine learning algorithms
- feature selection
- supervised learning
- decision trees
- machine learning
- unlabeled data
- target domain
- training samples
- active learning
- learning algorithm
- base classifiers
- data mining
- data sets
- metamodel
- e government
- pairwise
- unsupervised learning
- text classification
- similarity measure
- reinforcement learning
- learning experience