SSPENet: Semi-supervised prototype enhancement network for rolling bearing fault diagnosis under limited labeled samples.
Xuejian YaoXingchi LuQuansheng JiangYehu ShenFengyu XuQixin ZhuPublished in: Adv. Eng. Informatics (2024)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- semi supervised
- labeled samples
- unlabeled samples
- semi supervised learning
- neural network
- labeled data
- fuzzy logic
- fault detection
- unlabeled data
- operating conditions
- supervised learning
- active learning
- pairwise
- expert systems
- network structure
- incremental learning
- semi supervised classification
- pairwise constraints
- image processing
- unsupervised learning
- co training
- metric learning
- discriminative information
- training samples
- condition monitoring
- chemical process
- multi sensor information fusion
- labeled examples
- label information
- vibration signal
- reinforcement learning