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Architecture assessment for safety critical plant operation using reachability analysis of timed automata

Author

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  • Gouyon, David
  • Pétin, Jean-François
  • Cochard, Thomas
  • Devic, Catherine

Abstract

This article deals with the validation of critical industrial process architectures from the point of view of safety and operation. During the engineering phases, the objective is to complement conventional safety studies with an approach that focuses on plant operation. In this context, one of the major challenges is to provide a guarantee that the designed architecture will be able to react safely to critical situations and events.

Suggested Citation

  • Gouyon, David & Pétin, Jean-François & Cochard, Thomas & Devic, Catherine, 2020. "Architecture assessment for safety critical plant operation using reachability analysis of timed automata," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    • Handle: RePEc:eee:reensy:v:199:y:2020:i:c:s0951832019308324
    DOI: 10.1016/j.ress.2020.106923
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    References listed on IDEAS

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    1. Lahtinen, J. & Valkonen, J. & Björkman, K. & Frits, J. & Niemelä, I. & Heljanko, K., 2012. "Model checking of safety-critical software in the nuclear engineering domain," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 104-113.
    2. Meng, Huixing & Kloul, Leïla & Rauzy, Antoine, 2018. "Modeling patterns for reliability assessment of safety instrumented systems," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 111-123.
    3. Németh, E. & Bartha, T. & Fazekas, Cs. & Hangos, K.M., 2009. "Verification of a primary-to-secondary leaking safety procedure in a nuclear power plant using coloured Petri nets," Reliability Engineering and System Safety, Elsevier, vol. 94(5), pages 942-953.
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    Citations

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    Cited by:

    1. Cheng, Ruijun & Cheng, Yu & Chen, Dewang & Song, Haifeng, 2021. "Online quantitative safety monitoring approach for unattended train operation system considering stochastic factors," Reliability Engineering and System Safety, Elsevier, vol. 216(C).

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