A class-aware supervised contrastive learning framework for imbalanced fault diagnosis.
Jiyang ZhangJianxiao ZouZhiheng SuJianxiong TangYuhao KangHongbing XuZhiliang LiuShicai FanPublished in: Knowl. Based Syst. (2022)
Keyphrases
- fault diagnosis
- learning algorithm
- supervised learning
- active learning
- unsupervised learning
- machine learning
- fault detection
- semi supervised
- expert systems
- intelligent systems
- chemical process
- clustering algorithm
- class labels
- artificial intelligence
- power plant
- fuzzy neural network
- neural network
- condition monitoring
- power transformers
- multiple faults