A Composite Anomaly Detection System for Data-Driven Power Plant Condition Monitoring.
Yuchen ZhangZhao Yang DongWeicong KongKe MengPublished in: IEEE Trans. Ind. Informatics (2020)
Keyphrases
- condition monitoring
- anomaly detection
- power plant
- data driven
- fault detection
- fault diagnosis
- intrusion detection
- detecting anomalies
- network traffic
- anomalous behavior
- network intrusion detection
- incipient fault
- historical data
- soft computing
- one class support vector machines
- expert systems
- intrusion detection system
- neural network
- fuzzy logic
- unsupervised learning
- decision support system
- normal behavior
- detect anomalies
- network anomaly detection
- rough sets
- computational intelligence
- text mining
- pairwise
- knowledge base