From Anomaly Detection to Novel Fault Discrimination for Wind Turbine Gearboxes With a Sparse Isolation Encoding Forest.
Wenliao DuZhen GuoChuan LiXiaoyun GongZiqiang PuPublished in: IEEE Trans. Instrum. Meas. (2022)
Keyphrases
- anomaly detection
- wind turbine
- fault diagnosis
- wind speed
- sparse pca
- intrusion detection
- network intrusion detection
- fault detection
- anomalous behavior
- network traffic
- detecting anomalies
- network anomaly detection
- intrusion detection system
- wind farm
- behavior analysis
- detecting anomalous
- unsupervised anomaly detection
- electrical power
- detect anomalies
- network security
- feature selection
- negative selection algorithm
- expert systems
- high dimensional
- unsupervised learning
- normal behavior
- one class support vector machines
- power plant
- computer vision
- cumulative sum
- long term
- network intrusion
- data sources
- pairwise
- support vector machine
- short term
- connectionist systems
- learning algorithm