A Semi-Supervised Matrixized Graph Embedding Machine for Roller Bearing Fault Diagnosis Under Few-Labeled Samples.
Haiyang PanHaifeng XuJinde ZhengHaidong ShaoJinyu TongPublished in: IEEE Trans. Ind. Informatics (2024)
Keyphrases
- semi supervised
- graph embedding
- fault diagnosis
- labeled samples
- monitoring and fault diagnosis
- unlabeled samples
- semi supervised learning
- labeled data
- label information
- neural network
- expert systems
- unlabeled data
- active learning
- pairwise
- unsupervised learning
- manifold learning
- multiple instance learning
- supervised learning
- subspace learning
- generative model
- co training
- labeled examples
- pairwise constraints
- metric learning
- labeled and unlabeled data
- pattern recognition
- cross domain
- data distribution