Anomaly Detection for Industry 4.0 Sensor Data | 
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| Journal | Industrie 4.0 Management |
| Issue | Volume 33, 2017, Edition 4, Pages 53-56 |
| Share | Cite | Download |
Abstract
In the BMBF-funded project “Provenance Analytics” research groups at the Bauhaus-Universität Weimar and the Hochschule Ostwestfalen-Lippe develop approaches for detecting anomalies in sensor data. In this short survey, we review the main methods for predicting failures in the production processes of manufacturing machines and give a brief overview of the activities planned in the project.
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