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Titel:

A Distributed Framework for Knowledge-driven Root-cause Analysis on Evolving Alarm Data -- An Industrial Case Study

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Wilch, Jan; Vogel-Heuser, Birgit; Mager, Jens; Rostislav, Cendelín; Fett, Thomas; Hsieh, Yu-Ming; Cheng, Fan-Tien
Abstract:
Root-cause Analysis (RCA) of alarms is a well-established research area in automated Production Systems (aPS). Many RCA algorithms have been proposed and successfully evaluated and new ones are being developed. Recently, researchers focus on the incorporation of formalized information about the technical process in the analysis to gather further evidence for common root causes. In industrial applications, alarm data are usually preprocessed to accommodate for use case-specific properties and pre...     »
Zeitschriftentitel:
Robotics and Automation Letters
Jahr:
2023
Band / Volume:
8
Monat:
April
Heft / Issue:
6
Seitenangaben Beitrag:
3732--3739
Volltext / DOI:
doi:10.1109/LRA.2023.3270822
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