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A Deductive Fault Analysis Method Based on Hypergraphs
Ericsson AB, Stockholm, Sweden.
Mälardalen University, School of Education, Culture and Communication, Educational Sciences and Mathematics.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5032-2310
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
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2024 (English)In: IFAC-PapersOnLine, Elsevier B.V. , 2024, no 4, p. 378-383Conference paper, Published paper (Refereed)
Abstract [en]

Fault tree analysis is a system malfunction hazard evaluation quantitative and qualitative procedure. The method is well-known and widely used, especially in the safety systems domain, where it is a mandatory integral part of the so-called "Hazard Evaluation"documentation. This paper proposes an alternative or complementary deductive fault analysis method: it uses system topology to build a hypergraph representation of the system to identify component criticality and support loss of functionality probability evaluation. Once automated, the proposed method seems promising when the system engineers explore the different architectures. They may have indication about architecture's reliability without continuous feedback from the system safety team. The system safety team must check the solution once the engineers select the final architecture. They can also use the proposed method to validate the correctness of the fault tree analysis.

Place, publisher, year, edition, pages
Elsevier B.V. , 2024. no 4, p. 378-383
Series
IFAC-PapersOnLine, ISSN 2405-8963
Keywords [en]
cut set level, fault analysis, hypergraph, loss of function probability, Accident prevention, Hazards, Reliability analysis, Trees (mathematics), Cut sets, Fault analysis methods, Fault tree analyses (FTA), Hazard evaluation, Hyper graph, System domain, System safety, Fault tree analysis
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-68416DOI: 10.1016/j.ifacol.2024.07.247ISI: 001296047100064Scopus ID: 2-s2.0-85202861493OAI: oai:DiVA.org:mdh-68416DiVA, id: diva2:1896838
Conference
12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2024: Ferrara, Italy, June 4 – 7, 2024
Available from: 2024-09-11 Created: 2024-09-11 Last updated: 2024-11-28Bibliographically approved

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Westerback, ThomasSundmark, DanielForsberg, HåkanNolte, Thomas

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