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An approach to capture system interaction failures of a complex system

机译:捕获复杂系统的系统交互故障的方法

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This paper addresses two main issues pertaining to currently available failure analysis (FA) techniques that are applicable in early product design stages: (i) their inability in capturing many unanticipated system interactions that lead to many failure modes being left unaccounted for, after FA has been conducted; and (ii) their inability in identifying root causes of failure modes that have already been captured. To address these issues, this paper proposes a cognitive map based FA framework that facilitates the generation of a wide variety of failure modes including system interaction failures in early design stages by effectively capturing the propagation of causality. It also presents a convenient basis for performing root cause analysis of identified failures using a mathematically rigorous backtracking algorithm. The proposed framework lends the much required quantitative formalism to design stage FA in generating failure modes as well as in tracking down the root causes of failures identified. A typical electric water heater is taken as example to demonstrate the applicability of the framework.
机译:本文讨论了与当前可用的故障分析(FA)技术有关的两个主要问题,这些技术可应用于早期产品设计阶段:(i)在FA具有故障捕获能力之后,它们无法捕获许多无法预料的系统交互作用,从而导致许多故障模式无法解决。进行了; (ii)无法识别已经捕获的故障模式的根本原因。为了解决这些问题,本文提出了一种基于认知图的FA框架,该框架通过有效捕获因果关系的传播,促进了早期设计阶段中各种故障模式(包括系统交互故障)的产生。它还为使用数学严格的回溯算法执行已识别故障的根本原因分析提供了方便的基础。所提出的框架为设计阶段FA提供了急需的定量形式,以便在生成故障模式以及跟踪确定的故障的根本原因方面。以典型的电热水器为例,说明该框架的适用性。

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