Knowledge-Informed Causal Graph Deviation Network for Industrial Anomaly Detection and Root Cause Localization.
Most industrial anomaly detection and localization methods rely on correlations rather than causality, which limits both the accuracy of anomaly detection and the reliability of root cause localization. Moreover, data-driven causal discovery of industrial processes presents substantial challenges. To this end, we propo...