publication . Conference object . 2014

System modeling based on machine learning for anomaly detection and predictive maintenance in industrial plants

Kroll, Björn; Schaffranek, David; Schriegel, Sebastian; Niggemann, Oliver;
Open Access English
  • Published: 01 Jan 2014
Abstract
Electricity, water or air are some Industrial energy carriers which are struggling under the prices of primary energy carriers. The European Union for example used more 20.000.000 GWh electricity in 2011 based on the IEA Report [1]. Cyber Physical Production Systems (CPPS) are able to reduce this amount, but they also help to increase the efficiency of machines above expectations which results in a more cost efficient production. Especially in the field of improving industrial plants, one of the challenges is the implementation of anomaly detection systems. For example as wear-level detection, which improves maintenance cycles and thus leads to a better energy u...
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Conference object . 2014
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