Transfer learning applications for anomaly detection in wind turbines.
Cyriana M. A. RoelofsChristian GückStefan FaulstichPublished in: CoRR (2024)
Keyphrases
- transfer learning
- anomaly detection
- wind turbine
- wind speed
- intrusion detection
- learning tasks
- cross domain
- detecting anomalies
- reinforcement learning
- network intrusion detection
- labeled data
- anomalous behavior
- collaborative filtering
- network traffic
- intrusion detection system
- text classification
- fault diagnosis
- machine learning
- active learning
- learning algorithm
- transfer knowledge
- activity recognition
- machine learning algorithms
- semi supervised learning
- power plant
- unsupervised learning
- detect anomalies
- negative selection algorithm
- one class support vector machines
- text categorization
- target domain
- knowledge discovery
- decision making
- unlabeled data
- domain specific
- text mining