Exploring challenges of alarm root-cause analysis across varying production process types-Reference-Cited by-同舟云学术

Exploring challenges of alarm root-cause analysis across varying production process types

Published:2024-04-01 Issue:4 Volume:72 Page:369-386
ISSN:0178-2312
Container-title:at - Automatisierungstechnik
language:en
Short-container-title:

Author:

Vogel-Heuser Birgit¹²³,Fay Alexander⁴,Rupprecht Bernhard¹,Kunze Franz C.⁴,Hankemeier Victoria¹,Westermann Tom⁴,Manca Gianluca⁴⁵

Affiliation:

1. Institute of Automation and Information Systems, Department of Mechanical Engineering, TUM School of Engineering and Design, Technical University of Munich , Boltzmannstr. 15, 85748 Garching , Germany

2. Core Member of MDSI and Lead of Sector Work of MIRMI, Technical University of Munich , Munich , Germany

3. Munich Institute of Integrated Materials, Energy and Process Engineering, Technical University of Munich , Garching , Germany

4. Institute of Automation Technology, Helmut Schmidt University , Holstenhofweg 85, 22043 Hamburg , Germany

5. Industrial AI, ABB Corporate Research Center Germany , Wallstadter Straße 59, 68526 Ladenburg , Germany

Abstract

Abstract Alarm management systems in the process industry use root-cause analysis methods to reduce alarm logs. To enable the application of these methods in different plant types, the alarm characteristics of a continuous, two discrete, and a hybrid plant are examined. The main contribution is threefold. First, root-cause analysis requirements, posed by different plant types, are revealed. Next, existing approaches are assessed against the requirements. Since the root-cause is not necessarily the first alarm in time, its justification requires further plant knowledge. Thus, engineering documents and the necessary formalized knowledge to justify root-causes are identified.

Funder

German Research Foundation

Publisher

Walter de Gruyter GmbH

Link

https://www.degruyter.com/document/doi/10.1515/auto-2023-0180/pdf

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