Realizing Predictive Maintenance in Production Machinery Through Low-Cost IIoT Framework and Anomaly Detection: A Case Study in a Real-World Manufacturing Environment.
Gabriel FiliosStylianos KaratzasMarios KrousarlisSotiris E. NikoletseasStefanos H. PanagiotouPaul G. SpirakisPublished in: DCOSS-IoT (2023)
Keyphrases
- anomaly detection
- low cost
- real world
- intrusion detection
- manufacturing environment
- case study
- detecting anomalies
- network intrusion detection
- network traffic
- anomalous behavior
- intrusion detection system
- manufacturing systems
- data sets
- network anomaly detection
- unsupervised learning
- training set
- machine learning
- one class support vector machines
- data assimilation