One-class extreme learning machines for gas turbine combustor anomaly detection.
Weizhong YanPublished in: IJCNN (2016)
Keyphrases
- anomaly detection
- gas turbine
- extreme learning machines
- fault diagnosis
- intrusion detection
- detecting anomalies
- network intrusion detection
- fault detection
- unsupervised anomaly detection
- computer security
- network traffic
- intrusion detection system
- one class support vector machines
- anomalous behavior
- unsupervised learning
- detecting anomalous
- operating conditions
- behavior analysis
- network intrusion
- power plant
- negative selection algorithm
- network anomaly detection
- detect anomalies
- decision support system
- simulation model
- knowledge discovery
- network security
- expert systems