Explainable Unsupervised Multi-Sensor Industrial Anomaly Detection and Categorization.
Mina AmeliPhilipp Aaron BeckerKatharina LankersMarkus van AckerenHolger BähringWolfgang MaaßPublished in: ICMLA (2022)
Keyphrases
- anomaly detection
- multi sensor
- unsupervised anomaly detection
- unsupervised learning
- data fusion
- infrared
- multi sensor fusion
- detecting anomalies
- intrusion detection
- network intrusion detection
- anomalous behavior
- network traffic
- image fusion
- network anomaly detection
- intrusion detection system
- one class support vector machines
- semi supervised
- detecting anomalous
- visual information
- supervised learning
- network security
- real time
- normal behavior
- machine learning
- neural network
- detect anomalies
- negative selection algorithm