Discussion of Features for Acoustic Anomaly Detection under Industrial Disturbing Noise in an End-of-Line Test of Geared Motors.
Peter WißbrockDavid PelkmannYvonne RichterPublished in: INDIN (2023)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- computer security
- network traffic
- feature vectors
- unsupervised learning
- one class support vector machines
- network anomaly detection
- feature extraction
- feature space
- negative selection algorithm
- behavior analysis
- intrusion detection system
- detect anomalies
- unsupervised anomaly detection
- co occurrence
- learning algorithm
- network intrusion
- computational intelligence
- object recognition
- similarity measure
- image processing