On Accurate and Reliable Anomaly Detection for Gas Turbine Combustors: A Deep Learning Approach.
Weizhong YanLijie YuPublished in: CoRR (2019)
Keyphrases
- gas turbine
- anomaly detection
- deep learning
- unsupervised learning
- fault diagnosis
- intrusion detection
- anomalous behavior
- operating conditions
- detecting anomalies
- one class support vector machines
- machine learning
- fault detection
- network traffic
- simulation model
- mental models
- intrusion detection system
- network intrusion detection
- weakly supervised
- semi supervised
- steady state
- model selection
- dimensionality reduction
- genetic algorithm
- neural network
- negative selection algorithm