Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples.
Mingkuan ShiChuancang DingRui WangChangqing ShenWeiguo HuangZhongkui ZhuPublished in: Knowl. Based Syst. (2024)
Keyphrases
- labeled samples
- semi supervised
- rotating machinery
- fault detection
- fault diagnosis
- unlabeled samples
- incremental learning
- semi supervised learning
- labeled data
- unlabeled data
- unsupervised learning
- class labels
- pairwise
- supervised learning
- discriminative information
- active learning
- semi supervised classification
- neural network
- expert systems
- multi view
- labeled and unlabeled data
- label propagation
- training dataset
- label information
- training data
- pairwise constraints
- labeled examples
- co training
- power plant
- metric learning
- complex networks
- training samples
- support vector