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Titel:

Utilizing AutomationML data on system topology for fault diagnosis with Case-Based Reasoning

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Zinn, Jonas; Vogel-Heuser, Birgit
Abstract:
Failure recovery plays an important role in improving Overall Equipment E ectiveness. However, in an increasingly dynamic market, failure recovery mechanisms need to be able to adapt to system changes. Starting with fault diagnosis in automated Production Systems for assembly and logistics, this paper proposes a novel approach to combining Model-based Reasoning on topological system models with Case-based Reasoning. The topological models are accessed via AutomationML and leveraged for cas...     »
Kongress- / Buchtitel:
21st IFAC World Congress in Berlin, Germany, July 12-17, 2020
Verlagsort:
Berlin, Deutschland
Jahr:
2020
Seiten:
8315-8322
Nachgewiesen in:
Scopus; Web of Science
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