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Titel:

Data-Driven Condition Monitoring of Control Valves in Laboratory Test Runs

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Weiß, Iris; Hanel, Andreas; Trunzer, Emanuel; Unland, Stefan; Vogel-Heuser, Birgit
Abstract:
The availability of huge amounts of process data enables data-driven methods to optimize production processes. Predictive Maintenance is one of the common applications to transfer data to useful information for improving the Overall Equipment Effectiveness. In this paper, a data-driven method for condition monitoring of control valves in industrial process plants is developed based on data collected during test runs. These test runs make it possible to define a threshol...     »
Kongress- / Buchtitel:
17th IEEE International Conference on Industrial Informatics (IEEE INDIN)
Verlagsort:
Helsinki, Finnland
Jahr:
2019
Seiten:
1291--1296
Nachgewiesen in:
Scopus; Web of Science
WWW:
https://www.indin2019.org/program/full/
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