Multi-Block Fault Detection for Plant-Wide Dynamic Processes Based on Fault Sensitive Slow Features and Support Vector Data Description.
Chao ZhaiXiaochen ShengWeili XiongPublished in: IEEE Access (2020)
Keyphrases
- fault detection
- industrial processes
- fault diagnosis
- fault detection and isolation
- fault isolation
- power plant
- tennessee eastman
- fault identification
- condition monitoring
- fuel cell
- support vector data description
- fault detection and diagnosis
- feature vectors
- feature extraction
- decision making
- svm classifier
- feature set
- classification accuracy
- control system