Interpretable Data-driven Anomaly Detection in Industrial Processes with ExIFFI

arXiv:2405.01158v1 Announce Type: new
Abstract: Anomaly detection (AD) is a crucial process often required in industrial settings. Anomalies can signal underlying issues within a system, prompting further investigation. Industrial processes aim to streamline operations as much as possible, encompassing the production of the final product, making AD an essential mean to reach this goal.Conventional anomaly detection methodologies typically classify observations as either normal or anomalous without providing insight into the reasons behind these classifications.Consequently, in light of the emergence of …

abstract aim anomaly anomaly detection arxiv cs.ai cs.lg data data-driven detection industrial investigation making mean operations process processes product production prompting signal type