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Real-Time Fault Diagnosis of Node and Link Failures for Industrial Controller Redundancy
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0009-0002-2183-6563
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0009-0009-0128-3827
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Abb Ab, Västerås, Sweden .ORCID iD: 0000-0002-5333-3699
Abb Ab, Västerås, Sweden .
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2024 (English)In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, Institute of Electrical and Electronics Engineers Inc. , 2024Conference paper, Published paper (Refereed)
Abstract [en]

In an Industrial Control System (ICS), link failures causing partitioning between the redundant controller pair can prevent synchronization. This disruption could potentially trigger incorrect redundancy role-switching procedures. Distinguishing link and node failures from each controller's perspective can effectively mitigate these dependability threats. We introduce an algorithm capable of detecting and differentiating link failures from node failures within a bounded time. The proposed algorithm leverages periodic messages generated by industrial protocols operational in network devices. Our preliminary evaluation indicates the feasibility of the proposed algorithm in terms of meeting the real-time requirements of the ICSs.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2024.
Keywords [en]
Industrial Control System, Node and Link Failure, Redundant Controller Pair, Office automation, Industrial control systems, Industrial controllers, Link failures, Node failure, Nodes and links, Real-time fault diagnosis, Redundant controllers, Role switching, System links, Redundancy
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:mdh:diva-68999DOI: 10.1109/ETFA61755.2024.10710646Scopus ID: 2-s2.0-85207823968ISBN: 9798350361230 (print)OAI: oai:DiVA.org:mdh-68999DiVA, id: diva2:1912953
Conference
9th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024, Padova 10 September 2024 through 13 September 2024
Available from: 2024-11-13 Created: 2024-11-13 Last updated: 2024-11-13Bibliographically approved

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Ekrad, KasradLeclerc, SebastianJohansson, BjarneMubeen, SaadAshjaei, Seyed Mohammad Hossein

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