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Reliability study of complex physical systems using SysML

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  • David, Pierre
  • Idasiak, Vincent
  • Kratz, Frédéric

Abstract

The development of safety critical systems becomes even harder since the complexity of these systems grows continuously. Moreover, this kind of process involves the use of powerful design methods and precise reliability techniques that utilize dissimilar models and construction policy. In this article we propose a method to unify and enhance this process by linking functional design phase using SysML with commonly used reliability techniques such as FMEA and dysfunctional models construction in AltaRica Data Flow. We present how SysML models can be analyzed automatically in order to produce an FMEA and expose a parallel between SysML models and AltaRica Data Flow ones. The given approach is structured around a database of dysfunctional behaviors that supports the studies and is updated by the obtained results. We exemplify the approach to analyze a system of level controlling of a tank.

Suggested Citation

  • David, Pierre & Idasiak, Vincent & Kratz, Frédéric, 2010. "Reliability study of complex physical systems using SysML," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 431-450.
    • Handle: RePEc:eee:reensy:v:95:y:2010:i:4:p:431-450
    DOI: 10.1016/j.ress.2009.11.015
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    References listed on IDEAS

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    1. Iwu, Frantz & Galloway, Andy & McDermid, John & Toyn, Ian, 2007. "Integrating safety and formal analyses using UML and PFS," Reliability Engineering and System Safety, Elsevier, vol. 92(2), pages 156-170.
    2. Lundteigen, Mary Ann & Rausand, Marvin & Utne, Ingrid Bouwer, 2009. "Integrating RAMS engineering and management with the safety life cycle of IEC 61508," Reliability Engineering and System Safety, Elsevier, vol. 94(12), pages 1894-1903.
    3. Boiteau, M. & Dutuit, Y. & Rauzy, A. & Signoret, J.-P., 2006. "The AltaRica data-flow language in use: modeling of production availability of a multi-state system," Reliability Engineering and System Safety, Elsevier, vol. 91(7), pages 747-755.
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    Cited by:

    1. Jenab, K. & Sarfaraz, A. & Dhillon, B.S. & Seyed Hosseini, S.M., 2012. "Dynamic MLD analysis with flow graphs," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 80-85.
    2. Hu, Yunpeng & Peng, Qibo & Ni, Qing & Wu, Xinfeng & Ye, Dongming, 2023. "Event-based safety and reliability analysis integration in model-based space mission design," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    3. Linlin Liu & Dongming Fan & Zili Wang & Dezhen Yang & Jingjing Cui & Xinrui Ma & Yi Ren, 2019. "Enhanced GO methodology to support failure mode, effects and criticality analysis," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1451-1468, March.
    4. Cressent, Robin & David, Pierre & Idasiak, Vincent & Kratz, Frederic, 2013. "Designing the database for a reliability aware Model-Based System Engineering process," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 171-182.
    5. Cuer, Romain & Piétrac, Laurent & Niel, Eric & Diallo, Saidou & Minoiu-Enache, Nicoleta & Dang-Van-Nhan, Christophe, 2018. "A formal framework for the safe design of the Autonomous Driving supervision," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 29-40.
    6. Lipaczewski, Michael & Ortmeier, Frank & Prosvirnova, Tatiana & Rauzy, Antoine & Struck, Simon, 2015. "Comparison of modeling formalisms for Safety Analyses: SAML and AltaRica," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 191-199.

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