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Using State Transition Diagrams for Safety Quantification within the Automotive Industry
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0001-7972-8843
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0001-6667-3783
Scania CV AB.
2021 (English)In: Cars 2021 6th International Workshop on critical Automotive Applications: Robustness & Safety, 2021Conference paper, Published paper (Refereed)
Abstract [en]

One method suggested in functional safety standards for quantitative analysis of systems is Markov processes of which Semi-Markov processes (SMPs) is an extension allowing more accurate models of the systems of interest. The paper suggests state transition diagrams modeled in Stateflow for modeling systems as SMPs since it will ease the adoption of the method in the automotive industry. Compared to the method of fault trees, which is frequently applied in industry today, SMPs have a significant advantage for some systems given their ability to explicitly model time-dependent aspects of the system. SMP-tool is suggested as a tool support for quantitative analysis of state transition diagrams modeled in Stateflow

Place, publisher, year, edition, pages
2021.
National Category
Reliability and Maintenance
Identifiers
URN: urn:nbn:se:kth:diva-305457OAI: oai:DiVA.org:kth-305457DiVA, id: diva2:1615075
Conference
CARS 2021
Funder
Vinnova, 2018-02727EU, Horizon 2020, 783190
Note

QC 20211201

Available from: 2021-11-29 Created: 2021-11-29 Last updated: 2022-09-13Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

https://hal.archives-ouvertes.fr/hal-03366334/documenthttps://hal.archives-ouvertes.fr/hal-03366334v1

Authority records

Kaalen, StefanNyberg, Mattias

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CiteExportLink to record
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Output format
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  • asciidoc
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