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The Elusive Beta Factor - A Practical Method

机译:难以捉摸的Beta因子-一种实用的方法

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When it comes to determining the common cause factor for the verification of instrumented protection functions (IPF), is it based on a consistent technical methodology or just what makes you feel good? The problem is that it is not practical to specifically identify the myriad of contributors to common mode failures. As a result, not all common mode failures can be modeled quantitatively at a fundamental level. To deal with this, beta factors are developed via a qualitative means using expert judgment for use in quantitative models. Increased redundancy does not necessarily result in improved system performance if potential common mode has not been adequately addressed. Beta factor analysis techniques have been established for control room electronic systems and documented in 1EC 61508 which has become the process industries' generally accepted good engineering practice. However, when we move from the control room to the field, the applicable adjustment factors effecting determination of the Beta factor need to be different. The major difference between control electronics and field equipment is the process interface. This paper introduces a method to estimate a common cause factor, Beta, for sensors and final elements employed in user defined fault tolerant architectures using a spreadsheet format.
机译:在确定验证仪器保护功能(IPF)的常见原因时,是基于一致的技术方法还是让您感觉良好的原因?问题在于,专门确定无数的共模故障贡献者是不切实际的。结果,并非所有共模故障都可以在基本水平上进行定量建模。为了解决这个问题,通过使用专家判断通过定量方法开发定量定量模型中的β因子。如果没有充分解决潜在的共模问题,那么增加的冗余并不一定会导致系统性能的提高。 Beta因子分析技术已建立用于控制室电子系统,并记录在1EC 61508中,已成为过程工业普遍接受的良好工程实践。但是,当我们从控制室移至现场时,影响确定Beta因子的适用调整因子必须有所不同。控制电子设备和现场设备之间的主要区别在于过程接口。本文介绍了一种使用电子表格格式估算用户定义的容错体系结构中使用的传感器和最终元件的常见原因因子Beta的方法。

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