Explainable anomaly detection framework for predictive maintenance in manufacturing systems.
Heejeong ChoiDonghwa KimJounghee KimJina KimPilsung KangPublished in: Appl. Soft Comput. (2022)
Keyphrases
- anomaly detection
- manufacturing systems
- intrusion detection
- anomalous behavior
- manufacturing environment
- behavior analysis
- probabilistic model
- detecting anomalies
- network intrusion detection
- network traffic
- intrusion detection system
- network intrusion
- malware detection
- detect anomalies
- unsupervised learning
- training data
- one class support vector machines
- negative selection algorithm