利用专家系统和模糊理论提出了一种新的FMECA方法

Yun-Seong Lee, Hyungchul Kim, J. Cha, Jin-O. Kim
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引用次数: 6

摘要

失效模式效应和临界性分析(FMECA)是现代工程系统中应用最广泛的研究系统潜在失效模式及其严重程度的方法之一。虽然FMECA有几个标准,但最流行的是美国国防部的MIL-STD-1629A。在进行FMECA时,专家评估每种故障模式的临界程度和严重程度,并将这些指标分别作为列变量和行变量可视化风险等级矩阵。这种主观评价不可避免地给评价结果带来模糊性。为了解决模糊性问题,本文提出了一种新的基于建议结构重要性(PSI)和模糊理论的FMECA程序。严重性通过结构重要性(称为PSI)使用最小割集进行评估,而临界性由故障率确定。最后,为了解决传统方法的模糊性,利用模糊专家系统将这些指标组合成风险等级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new method for FMECA using expert system and fuzzy theory
Failure Mode Effects and Criticality Analysis (FMECA) is one of most widely used methods in modern engineering system to investigate potential failure modes and its severity upon the system. Although there are several FMECA standards, the most popular one is MIL-STD-1629A from U.S. department of defense. While carrying out FMECA, experts evaluate criticality and severity of each failure mode and visualize the risk level matrix putting those indices to column and row variable respectively. This kind of subjective evaluation inevitably brings ambiguousness on the result. In order to handle the ambiguousness, this paper proposes a new FMECA procedure using Proposed Structural Importance (PSI) and fuzzy theory. Severity is evaluated by structural importance called PSI using minimal cut set, while criticality is determined by failure rate. Finally, the risk level is compounded of these indices by fuzzy expert system in order to resolve the ambiguousness of traditional methods.
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