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Titel:

Data-driven Approach to Support Experts in the Identification of Operational States in Industrial Process Plants

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Trunzer, Emanuel; Wu, Chengyuan; Guo, Kaiwen; Vermum, Christian; Vogel-Heuser, Birgit
Abstract:
Knowledge on the operating conditions of chemical processes is important for various applications, for instance failure diagnosis. In absence of the recorded information, it has to be reconstructed from other data. This is commonly carried out by process experts as the identification of the operating states requires a deep understanding of the underlying process. As manual classification is a time-consuming task, an automatic identification can simplify this task greatly. As data-driven approach...     »
Kongress- / Buchtitel:
44th Annual Conference of the IEEE Industrial Electronics Society (IECON)
Verlagsort:
Washington DC, USA.
Jahr:
2018
Monat:
October
Seiten:
6
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