Fuzzy modelling of uncertain data in the layers of protection analysis

N. Ouazraoui, Mouloud Bourareche, R. Nait-Said
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引用次数: 4

Abstract

Layers of Protection Analysis (LOPA) described in the IEC 61511 standard is one of the most popular methods that enables the adequacy of the layers of protection for an industrial process to be assessed. LOPA has found much broader application as a relatively simple risk assessment methodology. However, an important issue faced by risk analysts is how to deal with uncertainties that arise in the elements of the accident scenario like the severity of consequences, frequency data for initiating event, probability of failure of independent protection layers (IPL) and human reliability. (ICAT'14). This paper presents an approach of fuzzy LOPA which takes into account uncertain and/or vague data. A possibilistic representation of data by fuzzy intervals is proposed. Consequence reduced frequency is computed by extended multiplication using a-cuts method. The proposed approach is illustrated by an application to the protection of an operational system which is a heater.
保护层分析中不确定数据的模糊建模
IEC 61511标准中描述的保护层分析(LOPA)是最流行的方法之一,可以评估工业过程保护层的充分性。LOPA作为一种相对简单的风险评估方法得到了更广泛的应用。然而,风险分析人员面临的一个重要问题是如何处理事故场景中出现的不确定性因素,如后果的严重程度、启动事件的频率数据、独立保护层(IPL)失效的概率和人的可靠性。(ICAT 14)。本文提出了一种考虑不确定和/或模糊数据的模糊LOPA方法。提出了一种用模糊区间表示数据的可能性方法。用a-cuts方法通过扩展乘法计算结果降频。提出的方法是由一个应用程序来保护一个操作系统,这是一个加热器。
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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