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nSIL Evaluation and Sensitivity Study of Diverse Redundant Structure

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  • Fu, Jianmin
  • Li, Honghao
  • Chi, Yajuan
  • Zhen, Jia
  • Xu, Xiangfeng

Abstract

In order to evaluate the safety integrity level (SIL) of safety instrumented systems (SIS) with diverse redundancy structures including more realistic assumptions, the average probability of failure on demand (PFDavg) models for the common diverse redundancy structures (1oo2, 2oo2, and 2oo3) have been established based on the fault tree analysis (FTA) method. These models take into account the common cause failures (CCF) and diagnostic coverage (DC) parameters with the correction coefficient. The model is applied to the SIL assessment of the emergency shutdown system (ESD) with diverse redundancy in gas storage and gathering. The proof test interval T is used as an indicator to compare and verify the sensitivity of both the new model and the previous models. The results can be concluded as follows: 1) The new model achieves higher consistency than the previous models; 2) The proposed model considers that different redundancy structures have CCF, which are more realistic and have higher applicability to be used to solve practical engineering problems.

Suggested Citation

  • Fu, Jianmin & Li, Honghao & Chi, Yajuan & Zhen, Jia & Xu, Xiangfeng, 2021. "nSIL Evaluation and Sensitivity Study of Diverse Redundant Structure," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    • Handle: RePEc:eee:reensy:v:210:y:2021:i:c:s095183202100079x
    DOI: 10.1016/j.ress.2021.107518
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    References listed on IDEAS

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    1. 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.
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    3. Ding, Long & Wang, Hong & Jiang, Jin & Xu, Aidong, 2017. "SIL verification for SRS with diverse redundancy based on system degradation using reliability block diagram," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 170-187.
    4. Lu, Lixuan & Lewis, Gregory, 2008. "Configuration determination for k-out-of-n partially redundant systems," Reliability Engineering and System Safety, Elsevier, vol. 93(11), pages 1594-1604.
    5. Guo, Haitao & Watson, Simon & Tavner, Peter & Xiang, Jiangping, 2009. "Reliability analysis for wind turbines with incomplete failure data collected from after the date of initial installation," Reliability Engineering and System Safety, Elsevier, vol. 94(6), pages 1057-1063.
    6. Jigar, Abraham Almaw & Liu, Yiliu & Lundteigen, Mary Ann, 2016. "Spurious activation analysis of safety-instrumented systems," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 15-23.
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    Cited by:

    1. Cheraghi, Morteza & Taghipour, Sharareh, 2024. "A mathematical optimization model for determining safety integrity levels in process facilities," Reliability Engineering and System Safety, Elsevier, vol. 243(C).

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