Anomaly detection in additive manufacturing processes using supervised classification with imbalanced sensor data based on generative adversarial network.
Jihoon ChungBo ShenZhenyu James KongPublished in: J. Intell. Manuf. (2024)
Keyphrases
- anomaly detection
- sensor data
- supervised classification
- manufacturing processes
- unsupervised learning
- network traffic
- network anomaly detection
- detect anomalies
- sensor networks
- intrusion detection
- supervised learning
- network intrusion detection
- detecting anomalies
- data streams
- sensor measurements
- one class support vector machines
- intrusion detection system
- manufacturing systems
- wireless sensor networks
- product quality
- semi supervised
- normal behavior
- petri net
- data mining
- pairwise
- object recognition
- land cover
- knn
- pattern recognition
- bayesian networks
- feature selection