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Project

Contextual anomaly detection for complex industrial assets (CONSCIOUS).

CONSCIOUS (Contextual aNomaly deteCtIon for cOmplex indUstrial aSsets) focusses on context-aware anomaly detection in industrial machines and processes. In these complex environments, anomaly detection remains a major challenge caused by the highly dynamic conditions in which these assets operate. The overall objective is to research effective solutions to achieve a more accurate, robust, timely and interpretable anomaly detection in complex, heterogenous data from industrial assets by accounting for confounding contextual factors. The results will be validated on multiple real-world use cases in different domains. In this project, Sirris will collaborate with Skyline Communications, Duracell Batteries, I-care, Yazzoom, KU Leuven and University of Antwerp.
Date:1 Jan 2021 →  30 Jun 2023
Keywords:DATA MINING
Disciplines:Data mining