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Modeling patterns for reliability assessment of safety instrumented systems

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  • Meng, Huixing
  • Kloul, Leïla
  • Rauzy, Antoine

Abstract

Safety Instrumented Systems (SIS) act as crucial safety barriers for preventing hazardous accidents in the industrial systems. It is therefore of primary importance to study their reliability, i.e. eventually to design probabilistic reliability assessment models. SIS have common behaviors such as the periodic test policies to reveal the dangerous undetected failures. These common behaviors can be captured in models via modeling patterns. By reusing modeling patterns, the modeling process can be simplified and made more efficient.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:reensy:v:180:y:2018:i:c:p:111-123
    DOI: 10.1016/j.ress.2018.06.026
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    References listed on IDEAS

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    Cited by:

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    2. Zhang, Aibo & Srivastav, Himanshu & Barros, Anne & Liu, Yiliu, 2021. "Study of testing and maintenance strategies for redundant final elements in SIS with imperfect detection of degraded state," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    3. Wu, Shengnan & Zhang, Laibin & Zheng, Wenpei & Liu, Yiliu & Lundteigen, Mary Ann, 2019. "Reliability modeling of subsea SISs partial testing subject to delayed restoration," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
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    5. Yuan, Shuaiqi & Cai, Jitao & Reniers, Genserik & Yang, Ming & Chen, Chao & Wu, Jiansong, 2022. "Safety barrier performance assessment by integrating computational fluid dynamics and evacuation modeling for toxic gas leakage scenarios," Reliability Engineering and System Safety, Elsevier, vol. 226(C).

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