A TOPSIS-Assisted Feature Selection Scheme and SOM-Based Anomaly Detection for Milling Tools Under Different Operating Conditions.
Maryam AssafoPeter LangendörferPublished in: IEEE Access (2021)
Keyphrases
- anomaly detection
- selection scheme
- operating conditions
- steady state
- selection algorithm
- intrusion detection
- detecting anomalies
- anomalous behavior
- control strategy
- unsupervised learning
- network traffic
- network intrusion detection
- fault diagnosis
- self organizing maps
- intrusion detection system
- one class support vector machines
- markov chain
- detect anomalies
- machine learning
- ls svm
- learning process
- feature vectors
- pairwise
- genetic algorithm