Unsupervised Machine Learning Techniques for Detecting PLC Process Control Anomalies.
Emmanuel Aboah BoatengJ. W. BrucePublished in: J. Cybersecur. Priv. (2022)
Keyphrases
- process control
- control system
- detecting anomalies
- anomaly detection
- product quality
- machine learning
- intelligent control
- manufacturing process
- unsupervised learning
- semiconductor manufacturing
- fuzzy logic
- fuzzy control
- semi supervised
- real time
- control strategy
- data driven
- graduate education
- database
- machine learning approaches
- automatic detection
- root cause
- supervised learning
- anomalous behavior
- detect anomalies
- clustering algorithm
- control charts
- pairwise
- intrusion detection
- supervised classification
- machine learning algorithms
- control algorithm
- machine learning methods