Gas Turbine Anomaly Detection under Time-Varying Operation Conditions Based on Spectra Alignment and Self-Adaptive Normalization.
Dongyan MiaoKun FengYuan XiaoZhouzheng LiJinji GaoPublished in: Sensors (2024)
Keyphrases
- anomaly detection
- gas turbine
- intrusion detection
- operating conditions
- fault diagnosis
- detecting anomalies
- network traffic
- anomalous behavior
- data assimilation
- network intrusion detection
- detecting anomalous
- one class support vector machines
- intrusion detection system
- network security
- power plant
- computer security
- unsupervised anomaly detection
- detect anomalies
- fault detection
- network anomaly detection
- steady state
- malware detection
- negative selection algorithm
- control strategy
- behavior analysis
- unsupervised learning
- principal component analysis
- computational intelligence
- expert systems
- artificial intelligence
- learning algorithm
- data mining
- neural network