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Failure Mode and Effect Analysis Based on Probabilistic Linguistic Preference Relations and Gained and Lost Dominance Score Method
IEEE Transactions on Cybernetics ( IF 11.8 ) Pub Date : 2021-09-06 , DOI: 10.1109/tcyb.2021.3105742
Zheng Liu , Xun Mou , Hu-Chen Liu , Ling Zhang

Failure mode and effect analysis (FMEA) is a widely used reliability management technology to evaluate the risk of potential failures in a system, product, or service. Nevertheless, the normal risk priority number (RPN) method has been extensively criticized for many deficiencies in practical applications. To overcome the drawbacks of traditional FMEA, plenty of methods have been suggested in previous studies. But majority of them evaluated the risk factors of each failure mode directly and cannot take group and individual risk attitudes into account. In this article, we put forward a new FMEA approach integrating probabilistic linguistic preference relations (PLPRs) and gained and lost dominance score (GLDS) method. The PLPRs are adopted to describe the risk evaluations of experts by pairwise comparison of failure modes. An extended GLDS method is introduced to derive the risk ranking of failure modes considering both group and individual risk attitudes. Moreover, a two-step optimization model is proposed to determine the weights of risk factors when their weighing information is unknown. Finally, a load-haul-dumper machine risk analysis case is presented to demonstrate the proposed FMEA. It is shown that the approach being proposed in this study provides a practical and effective way for risk evaluation in FMEA.

中文翻译:

基于概率语言偏好关系和获得和失去优势评分法的故障模式和影响分析

故障模式和影响分析 (FMEA) 是一种广泛使用的可靠性管理技术,用于评估系统、产品或服务中潜在故障的风​​险。尽管如此,正态风险优先数(RPN)方法在实际应用中因存在诸多缺陷而受到广泛批评。为了克服传统 FMEA 的缺点,在以前的研究中已经提出了许多方法。但他们中的大多数直接评估了每种失效模式的风险因素,而没有考虑到群体和个人的风险态度。在这篇文章中,我们提出了一种新的 FMEA 方法,它结合了概率语言偏好关系 (PLPRs) 和获得和失去优势得分 (GLDS) 方法。采用PLPRs通过故障模式的成对比较来描述专家的风险评估。引入了一种扩展的 GLDS 方法来推导考虑群体和个人风险态度的故障模式的风险等级。此外,提出了一种两步优化模型来确定风险因素在权重信息未知时的权重。最后,提出了一个装载-运输-自卸车机器风险分析案例来证明所提出的 FMEA。结果表明,本研究中提出的方法为 FMEA 中的风险评估提供了一种实用且有效的方法。
更新日期:2021-09-06
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