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The effect of parameter uncertainty on achieved safety integrity of safety system

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  • Xu, Ming
  • Chen, Tao
  • Yang, Xianhui

Abstract

This paper introduces the concept of safety-related (SR) uncertainty and the methodology to measure SR uncertainty. SR uncertainty is concerned with the effect of parameter uncertainty on the uncertainty of system unsafety (defined with respect to achieve safety integrity level), which is in direct contrast to the effect on overall system uncertainty. The properties of SR uncertainty are discussed and its significance in analyzing safety systems is highlighted. The conventional global sensitivity analysis (GSA) to handle overall uncertainty is inappropriate when SR uncertainty is of interest. We present and discuss four methods to measure SR uncertainty. Three examples are used to demonstrate the effectiveness of the proposed methods in comparison with GSA.

Suggested Citation

  • Xu, Ming & Chen, Tao & Yang, Xianhui, 2012. "The effect of parameter uncertainty on achieved safety integrity of safety system," Reliability Engineering and System Safety, Elsevier, vol. 99(C), pages 15-23.
    • Handle: RePEc:eee:reensy:v:99:y:2012:i:c:p:15-23
    DOI: 10.1016/j.ress.2011.10.015
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    References listed on IDEAS

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    1. Borgonovo, E., 2007. "A new uncertainty importance measure," Reliability Engineering and System Safety, Elsevier, vol. 92(6), pages 771-784.
    2. Torres-Echeverría, A.C. & Martorell, S. & Thompson, H.A., 2009. "Design optimization of a safety-instrumented system based on RAMS+C addressing IEC 61508 requirements and diverse redundancy," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 162-179.
    3. Aven, T. & Nøkland, T.E., 2010. "On the use of uncertainty importance measures in reliability and risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 127-133.
    4. Liu, Qiao & Homma, Toshimitsu, 2009. "A new computational method of a moment-independent uncertainty importance measure," Reliability Engineering and System Safety, Elsevier, vol. 94(7), pages 1205-1211.
    5. Oliveira, Luiz Fernando & Abramovitch, Rafael Nelson, 2010. "Extension of ISA TR84.00.02 PFD equations to KooN architectures," Reliability Engineering and System Safety, Elsevier, vol. 95(7), pages 707-715.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Mechri, Walid & Simon, Christophe & BenOthman, Kamel, 2015. "Switching Markov chains for a holistic modeling of SIS unavailability," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 212-222.
    2. Tang, Zhang-Chun & Zuo, Ming J. & Xiao, Ningcong, 2016. "An efficient method for evaluating the effect of input parameters on the integrity of safety systems," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 111-123.
    3. Cao, Jiaokun & Du, Farong & Ding, Shuiting, 2013. "Global sensitivity analysis for dynamic systems with stochastic input processes," Reliability Engineering and System Safety, Elsevier, vol. 118(C), pages 106-117.
    4. Kiswendsida Abel Ouedraogo & Julie Beugin & El‐Miloudi El‐Koursi & Joffrey Clarhaut & Dominique Renaux & Frederic Lisiecki, 2018. "Toward an Application Guide for Safety Integrity Level Allocation in Railway Systems," Risk Analysis, John Wiley & Sons, vol. 38(8), pages 1634-1655, August.
    5. Hoseyni, Seyed Mohsen & Pourgol-Mohammad, Mohammad & Tehranifard, Ali Abbaspour & Yousefpour, Faramarz, 2014. "A systematic framework for effective uncertainty assessment of severe accident calculations; Hybrid qualitative and quantitative methodology," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 22-35.

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