A Fuzzy Probabilistic Approach for Determining Safety Integrity Level

Mohamed Sallak · Christophe Simon · Jean‐François Aubry

77 citations0/0 files storedIEEE Transactions on Fuzzy Systems

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Risk and Safety Analysis Reliability and Maintenance Optimization Safety Systems Engineering in Autonomy

Abstract

The process industry has always been faced with the difficult task of determining the required integrity of safeguarding systems such as safety instrumented systems (SISs). The ANSI/ISA S84.01-1996 and IEC 61508 safety standards provide guidelines for the design, installation, operation, maintenance, and test of SIS. However, in the field, there is a considerable lack of understanding of how to apply these standards to both determine and achieve the required safety integrity level (SIL) for SIS. Moreover, in certain situations, the SIL evaluation is further complicated due to the uncertainty on reliability parameters of SIS components. This paper proposes a new approach to evaluate the ldquoconfidencerdquo of the SIL determination when there is an uncertainty about failure rates of SIS components. This approach is based on the use of failure rates and fuzzy probabilities to evaluate the SIS failure probability on demand and the SIL of the SIS. Furthermore, we provide guidance on reducing the SIL uncertainty based on fuzzy probabilistic importance measures.

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References

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2015Fuzzy probability based fault tree analysis to propagate and quantify epistemic uncertainty 2016Fuzzy-based HAZOP study for process industry 2012Epistemic uncertainty in fault tree analysis approached by the evidence theory 2016A multiphase dynamic Bayesian networks methodology for the determination of safety integrity levels 2013Fuzzy multiphase Markov chains to handle uncertainties in safety systems performance assessment 2017Hybrid computation of uncertainty in reliability analysis with p-box and evidential networks

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