A reliability analysis method for electromagnet performance degradation based on FMEA and fuzzy inference system

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS

ACS Applied Bio Materials Pub Date : 2024-06-09 DOI:10.1002/qre.3602

Jihong Pang, Jinkun Dai, Xinze Lian, Zhigang Ding

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引用次数: 0

Abstract

Electromagnets are often used in indirect control for industrial applications. The ability of an electromagnet to control objects should decrease with performance degradation. And electromagnets product poses a danger to people and objects in the working environment. So, it is very difficult to analyze the reliability of electromagnetic performance degradation because of the complicated working condition. Failure Mode and Effect Analysis (FMEA) is the most commonly used tool for product reliability analysis. The new version of FMEA uses integer as evaluation value, which cannot represent the hesitation psychology of the evaluator. The Action Priority (AP) table of the FMEA describes the relationship between the evaluation of influencing factors and the risk level of the failure mode, which provides rules for determining the risk level of the failure mode. However, the AP table may result in multiple failure modes having the same ranking, which does not align with the intention of FMEA to prevent failures. Therefore, this paper proposes a reliability analysis method for electromagnetic performance degradation based on FMEA and FIS. Firstly, the Double Hierarchy Hesitant Fuzzy Linguistic Term Set (DHHFLTS) is used as the evaluation language to describe the hesitation psychology of evaluators. Secondly, the AP table of FMEA is used as FIS fuzzy inference rule. In this way, the idea of FMEA to determine the risk level of failure mode is retained and the problem of FIS fuzzy rule making is overcome. Then, FIS defuzzification AP table inference results to determine the risk ranking of failure modes. This avoids situations where the order of failure modes is equal. Finally, a performance degradation model of the electromagnet is constructed based on the Wiener process, and the calculation results of the new method are verified.

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基于 FMEA 和模糊推理系统的电磁铁性能退化可靠性分析方法

电磁铁通常用于工业应用中的间接控制。电磁铁控制物体的能力会随着性能的下降而降低。而电磁铁产品会对工作环境中的人和物造成危害。因此，由于工作条件复杂，分析电磁性能退化的可靠性非常困难。失效模式与效应分析（FMEA）是产品可靠性分析最常用的工具。新版 FMEA 采用整数作为评估值，不能代表评估者的犹豫心理。FMEA 的行动优先级（AP）表描述了影响因素评价与失效模式风险等级之间的关系，为失效模式风险等级的确定提供了规则。然而，AP 表可能会导致多种失效模式具有相同的等级，这与 FMEA 预防失效的初衷不符。因此，本文提出了一种基于 FMEA 和 FIS 的电磁性能退化可靠性分析方法。首先，采用双层次犹豫模糊语言术语集（DHHFLTS）作为评价语言，描述评价者的犹豫心理。其次，将 FMEA 的 AP 表用作 FIS 的模糊推理规则。这样，既保留了 FMEA 确定失效模式风险等级的思想，又克服了 FIS 模糊规则制定的问题。然后，通过 FIS 模糊化 AP 表推理结果来确定故障模式的风险等级。这避免了故障模式顺序相等的情况。最后，基于维纳过程构建了电磁铁性能退化模型，并验证了新方法的计算结果。

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

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464

期刊介绍： ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.