Abstract

Safety instrumented systems often employ redundancy to enhance the ability to detect and respond to hazardous events. The use of redundancy increases the fault tolerance to single failure but remains vulnerable in case of dependent failures, including common cause failures and cascading failures. Reliability analysis of safety instrumented systems therefore involves the impact of dependent failures. The used approaches have primarily focused on common cause failures. In this paper, it is argued the need to consider the efforts of cascading failures that are caused by functional dependencies, hazardous events, and shared resources. A recursive aggregation-based approach is proposed for performance analyzing of K-out-of-N safety instrumented systems with consideration of cascading failures. General approximation formulas are developed for estimating the average probability of failures on demand of different configurations of safety instrumented systems. These formulas are compared with those for common cause failures. Then a case of fire water pump is studied to illustrate the effects of cascading failures on safety instrumented systems.

Highlights

  • Safety instrumented systems (SISs) are employed to prevent hazardous events and mitigate damages in diverse industries, including but not limited to process and nuclear power plants, and oil and gas facilities

  • A SIS is characterized as a system that relies on electrical/electronic/programmable electronic (E/E/PE) technologies to detect abnormal situations [1]

  • The objective of this paper is to introduce the approaches for incorporating Cascading failures (CAFs) into performance assessment of SISs: (1) A generalized approach based on recursive aggregation for reliability analysis of SISs subsystems voted KooN. (2) Approximation formulas for performance assessment of most common configuration SISs

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Summary

Introduction

Safety instrumented systems (SISs) are employed to prevent hazardous events and mitigate damages in diverse industries, including but not limited to process and nuclear power plants, and oil and gas facilities. CCFs are characterized by the failures of two or more components fail due to the same reasons [1] They can be modeled by the standard and the multiple beta-factor model incorporated with FTA, PDS method and Markov model in PFDavg calculation [5,12]. The value of PFDavg is related with the internal properties of a SIS, and related with the frequency and effectiveness of proof tests (see [1,2] and [4]) These particularities distinguish SISs from production or general systems and impede the adaption of the existing approaches for CAF analysis to SISs. the objective of this paper is to introduce the approaches for incorporating CAFs into performance assessment of SISs: (1) A generalized approach based on recursive aggregation for reliability analysis of SISs subsystems voted KooN.

Failures and performance measures of SISs
CAFs analysis
SIS reliability analysis with CAFs
The recursive aggression-based approach
Verification with Monte Carlo simulations
Analysis for PFDavg and approximation formulas
PFDavg With CAFs
Generalized formulas for PFDavg with CAFs
Comparisons of formulas for CCFs and CAFs
Case studies
System description
Effects of cascaded failure probability γ
The effects of CCFs and CAFs
Conclusions and future works
Full Text
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