Comparative analysis of unsupervised anomaly detection techniques in industrial systems
A comparative evaluation of unsupervised anomaly detection techniques using the PyOD Python library, applied to three representative industrial scenarios: Intrusion Detection, Fault Detection, and Predictive Maintenance, offers valuable guidance for selecting robust anomaly detection models in industrial applications beyond cybersecurity.