A. Tula

A Generic Framework for Multivariate Anomaly Detection and Root-Cause Analysis Using Slow and Fast Detection in Process Industries

The digitalization of process industries via the Industrial Internet of Things (IIoT) has introduced challenges like poor generalization, lack of interpretability, and complex multi-frequency sensor data. Most existing systems struggle to simultaneously detect anomalies and trace their root causes, resulting in over-sp...