Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery.
Mingkuan ShiChuancang DingRui WangChangqing ShenWeiguo HuangZhongkui ZhuPublished in: Reliab. Eng. Syst. Saf. (2023)
Keyphrases
- fault diagnosis
- rotating machinery
- fault detection
- prior knowledge
- learning process
- data sets
- data distribution
- supervised learning
- neural network
- active learning
- data analysis
- data points
- semi supervised
- graph embedding
- power transformers
- xml documents
- computational intelligence
- data mining techniques
- high dimensional data
- expert systems
- historical data
- support vector
- knowledge base