Autoencoder based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems

no code implementations • 14 Oct 2022 • Stephanie Holly, Robin Heel, Denis Katic, Leopold Schoeffl, Andreas Stiftinger, Peter Holzner, Thomas Kaufmann, Bernhard Haslhofer, Daniel Schall, Clemens Heitzinger, Jana Kemnitz

In this work, we present an autoencoder based end-to-end workflow for anomaly detection suitable for multivariate time series data in large industrial cooling systems, including explained fault localization and root cause analysis based on expert knowledge.

Anomaly Detection Fault localization +1