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Impact of common cause failure on reliability performance of redundant safety related systems subject to process demand

机译：共因故障对冗余安全相关系统的可靠性性能的影响，取决于过程需求

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Common Cause Failures (CCFs) can compromise reliability performance of safety related systems and hence configurations with identical redundant units receive special attention in many industries, including in automotive, aviation and process applications. This paper introduces a new reliability model for redundant safety related systems using Markov analysis technique. The proposed model entails process demand in conjunction with CCF and established system failure modes such as dangerous undetected failures for the first time and evaluates their impact on the reliability performance of the system. The reliability of the safety related systems is measured using the Probability of Failure on Demand (PFD) for low demand systems. The safety performance of the system is also appraised using Hazardous Event Frequency (HEF) to quantify the frequency of system entering a hazardous state that will lead to an accident if the situation is not controlled accordingly. The accuracy of the proposed Markov model is verified for a case study of flammable liquid storage tank overpressure protection system. It is demonstrated that the proposed approach provides sufficiently robust results for all demand rates, demand durations, dangerous undetected and CCF frequencies and associated repair rates for redundant safety related systems utilised in low demand mode of operation. (C) 2017 Elsevier Ltd. All rights reserved.
机译：常见原因故障（CCF）可能会损害与安全相关的系统的可靠性，因此具有相同冗余单元的配置在许多行业中受到特别关注，包括汽车，航空和过程应用。本文采用马尔可夫分析技术为冗余安全相关系统引入了一种新的可靠性模型。所提出的模型需要与CCF结合的过程需求，以及首次建立的系统故障模式（例如危险的未检测到的故障），并评估它们对系统可靠性性能的影响。安全相关系统的可靠性是使用低需求系统的按需故障概率（PFD）来衡量的。还使用危险事件频率（HEF）评估系统的安全性能，以量化进入危险状态的系统的频率，如果不相应控制情况，将导致事故。以可燃液体储罐超压保护系统为例，验证了提出的马尔可夫模型的准确性。事实证明，对于在低需求操作模式下使用的冗余安全相关系统，所提出的方法可为所有需求率，需求持续时间，危险未检测到的和CCF频率以及相关的维修率提供足够可靠的结果。 （C）2017 Elsevier Ltd.保留所有权利。

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