Using R&M analysis to calculate economic risk in the process industries

H. Tripp, J. Propst
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引用次数: 3

Abstract

A systematic procedure for quantifying the financial risk of repetitive hardware failures is used to analyze the reliability of plant electrical systems and process units. The procedure uses component failure rates and the financial impact to calculate annual risk premiums, which approximate the insurance premiums required to compensate for financial losses caused by the component failures. Basic reliability calculations are then used to combine the component characteristics and to find the annual risk premium of the system. Typically the annual risk premiums for components follow a Pareto distribution; i.e., several component failures account for most of the production losses. Results of these calculations provide data for: ranking component failures on the basis of financial impact across discipline, system, and unit boundaries; developing realistic estimates of the future availability of units and systems; developing alternatives for upgrading systems to achieve desired availability; and developing maintenance strategies.
运用R&M分析方法计算过程工业的经济风险
一个量化重复硬件故障的财务风险的系统程序被用于分析工厂电气系统和工艺单元的可靠性。该程序使用组件故障率和财务影响来计算年度风险保费,其近似于补偿组件故障造成的财务损失所需的保险费。然后利用基本的可靠性计算,结合各部件的特性,求出系统的年风险溢价。通常,组件的年风险溢价遵循帕累托分布;也就是说,几个部件的故障造成了大部分的生产损失。这些计算的结果为以下方面提供了数据:基于跨学科、系统和单位边界的财务影响对组件故障进行排名;对单位和系统的未来可用性作出切合实际的估计;开发升级系统的替代方案,以达到预期的可用性;制定维护策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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