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Reliability effects of test strategies on safety-instrumented systems in different demand modes

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  • Liu, Yiliu
  • Rausand, Marvin

Abstract

Periodic proof testing reveals hidden faults and improves the availability of a safety-instrumented system (SIS). Three testing strategies are applied: simultaneous testing, sequential testing, and staggered testing. Staggered testing is generally found to give a higher safety availability than the two other strategies, but at a higher cost. The testing strategy will also influence the safety availability through the demand rate for the SIS. This paper uses Petri net modeling to examine how the three testing strategies, under different demand rates, influence a SIS subsystem of two identical channels that are voted 1-out-of-2. The Petri net models are verified by comparing the calculated results with those obtained by traditional methods. The study shows that the SIS unavailability reduction gained by staggered testing does not depend on the demand rate. When common cause failures (CCFs) are considered, however, the study shows that the unavailability reduction by staggered testing increases with the fraction of CCFs.

Suggested Citation

  • Liu, Yiliu & Rausand, Marvin, 2013. "Reliability effects of test strategies on safety-instrumented systems in different demand modes," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 235-243.
    • Handle: RePEc:eee:reensy:v:119:y:2013:i:c:p:235-243
    DOI: 10.1016/j.ress.2013.06.035
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    References listed on IDEAS

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    1. Guo, Haitao & Yang, Xianhui, 2007. "A simple reliability block diagram method for safety integrity verification," Reliability Engineering and System Safety, Elsevier, vol. 92(9), pages 1267-1273.
    2. Torres-Echeverría, A.C. & Martorell, S. & Thompson, H.A., 2009. "Modelling and optimization of proof testing policies for safety instrumented systems," Reliability Engineering and System Safety, Elsevier, vol. 94(4), pages 838-854.
    3. Y Dutuit & A B Rauzy & J-P Signoret, 2008. "A snapshot of methods and tools to assess safety integrity levels of high-integrity protection systems," Journal of Risk and Reliability, , vol. 222(3), pages 371-379, September.
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    Cited by:

    1. Zhang, Aibo & Hao, Songhua & Li, Peng & Xie, Min & Liu, Yiliu, 2022. "Performance modeling for condition-based activation of the redundant safety system subject to harmful tests," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    2. Chuan Wang & Yupeng Liu & Wen Hou & Chao Yu & Guorong Wang & Yuyan Zheng, 2021. "Reliability and availability modeling of Subsea Autonomous High Integrity Pressure Protection System with partial stroke test by Dynamic Bayesian," Journal of Risk and Reliability, , vol. 235(2), pages 268-281, April.
    3. Alizadeh, Siamak & Sriramula, Srinivas, 2018. "Impact of common cause failure on reliability performance of redundant safety related systems subject to process demand," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 129-150.
    4. Rachid Sal & Rachid Nait-Said & Mouloud Bourareche, 2017. "Dealing with uncertainty in effect analysis of test strategies on safety instrumented system performance," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1945-1958, November.
    5. Liu, Yiliu & Rausand, Marvin, 2016. "Proof-testing strategies induced by dangerous detected failures of safety-instrumented systems," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 366-372.
    6. 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).
    7. Xie, Lin & Lundteigen, Mary Ann & Liu, Yiliu, 2021. "Performance analysis of safety instrumented systems against cascading failures during prolonged demands," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    8. Hellmich, Mario & Berg, Heinz-Peter, 2015. "Markov analysis of redundant standby safety systems under periodic surveillance testing," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 48-58.
    9. Liu, Yiliu, 2014. "Optimal staggered testing strategies for heterogeneously redundant safety systems," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 65-71.
    10. Chuan Wang & Jun Gou & Yingcheng Tian & Hao Jin & Chao Yu & Yupeng Liu & Jiajun Ma & Yong Xia, 2022. "Reliability and availability evaluation of subsea high integrity pressure protection system using stochastic Petri net," Journal of Risk and Reliability, , vol. 236(3), pages 508-521, June.

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