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Monitoring human and organizational factors influencing common-cause failures of safety-instrumented system during the operational phase

机译:在操作阶段监视影响安全仪表系统常见原因的人为因素和组织因素

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摘要

Safety-instrumented systems (SISs) are important safety barriers in many technical systems in the process industry. Reliability requirements for SISs are specified as a safety integrity level (SIL) with reference to the standard IEC 61508. The SIS reliability is often threatened by common-cause failures (CCFs), and the beta-factor model is the most commonly used model for incorporating the effects of CCFs. In the design phase, the beta-factor, β, is determined by answering a set of questions that is given in part 6 of IEC 61508. During the operational phase, there are several factors that influence β, such that the actual β differs from what was predicted in the design phase, and therefore the required reliability may not be maintained. Among the factors influencing β in the operational phase are human and organizational factors (HOFs). A number of studies within industries that require highly reliable products have shown that HOFs have significant influence on CCFs and therefore on β in the operational phase, but this has been neglected in the process industry. HOFs are difficult to predict, and susceptible to be changed during the operational phase. Without proper management, changing HOFs may cause the SIS reliability to drift out of its required value. The aim of this article is to highlight the importance of HOFs in estimation of β for SISs, and also to propose a framework to follow the HOFs effects and to manage them such that the reliability requirement can be maintained.
机译:安全仪表系统(SIS)是过程工业中许多技术系统中的重要安全屏障。 SIS的可靠性要求被指定为参考IEC 61508的安全完整性等级(SIL)。SIS可靠性通常受到常见原因故障(CCF)的威胁,而β因子模型是用于SIS的最常用模型。纳入CCF的影响。在设计阶段,通过回答IEC 61508第6部分给出的一组问题来确定β因子β。在操作阶段,有几个影响β的因素,因此实际β与设计阶段所预测的结果,因此可能无法保持所需的可靠性。在运营阶段影响β的因素包括人为因素和组织因素(HOF)。在需要高度可靠产品的行业中的许多研究表明,HOF对CCF具有重要影响,因此在操作阶段对β有很大影响,但是在过程工业中却被忽略。 HOF难以预测,并且易于在运营阶段进行更改。如果没有适当的管理,更改HOF可能会导致SIS可靠性偏离其要求的值。本文的目的是强调HOF在估计SIS的β中的重要性,并提出一个框架来跟踪HOF的影响并对其进行管理,从而可以保持可靠性要求。

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