Prioritizing failure risks of components based on information axiom for product redesign considering fuzzy and random uncertainties

Concurrent Engineering Pub Date : 2021-05-27 DOI:10.1177/1063293X211015999

Zhenhua Liu, Xuening Chu, Hongzhan Ma, Mengting Zhang

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引用次数: 1

Abstract

The prioritization of the failure risks of the components in an existing product is critical for product redesign decision-making considering various uncertainties. Two issues need to be addressed in the failure risk prioritization process. One is the evaluation of the failure risk considering each failure mode for each component. Currently, many failure mode effects and analysis (FMEA) methods based on fuzzy logic seldom deal with the randomness in failure mode occurrence during the product operation stage. Therefore, in this research, the information axiom is extended to calculate the information contents of risk indices considering these two types of uncertainty. The second issue is the evaluation of the degree of failure risk for each of the components. The weighted sum of information content considering all failure modes is used to assess the risk of components based on a fuzzy logarithmic least squares method (FLLSM). Additionally, a case study to prioritize the failure risks of various components in a crawler crane is implemented to demonstrate the effectiveness of the developed approach.

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基于信息公理的产品再设计部件失效风险排序

在考虑各种不确定因素的情况下，现有产品中部件失效风险的优先级排序对于产品再设计决策至关重要。在故障风险优先排序过程中需要解决两个问题。一是考虑各部件各失效模式的失效风险评估。目前，许多基于模糊逻辑的失效模式效应分析方法很少处理产品运行阶段失效模式发生的随机性。因此，在本研究中，将信息公理推广到考虑这两种不确定性的风险指标的信息含量计算。第二个问题是评估每个部件的失效风险程度。基于模糊对数最小二乘法(FLLSM)，采用考虑各种失效模式的信息含量加权和来评估部件的风险。此外，通过对履带式起重机各部件故障风险的优先级排序的案例研究，验证了所开发方法的有效性。

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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来源期刊

Concurrent Engineering

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