引用本文:彭书勤,吕琛,黄大荣,程玉杰,赵玲.基于直觉模糊AHP和模糊MAIRCA的故障模式与影响分析[J].控制理论与应用,2025,42(1):127~137.[点击复制]
PENG Shu-qin,LV Chen,HUANG Da-rong,CHENG Yu-jie,ZHAO Ling.Fault mode and effectiveness analysis based on intuitionistic fuzzy AHP and fuzzy MAIRCA[J].Control Theory and Technology,2025,42(1):127~137.[点击复制]
基于直觉模糊AHP和模糊MAIRCA的故障模式与影响分析
Fault mode and effectiveness analysis based on intuitionistic fuzzy AHP and fuzzy MAIRCA
摘要点击 3336  全文点击 19  投稿时间:2022-11-16  修订日期:2024-11-30
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DOI编号  10.7641/CTA.2023.21014
  2025,42(1):127-137
中文关键词  故障模式与影响分析  直觉模糊层次分析法  模糊MAIRCA
英文关键词  failure mode and effect analysis  intuitionistic fuzzy analytic hierarchy process  fuzzy multi-attribute ideal real comparative analysis
基金项目  “十三五”国防技术基础科研项目(JSZL2019207B008), 国家自然科学基金项目(62073051), 重庆市技术创新与应用发展专项重点项目(cstc2019jscx–mbdxX0015), 重庆教委重点科研项目(KJZD–K201900704)资助.
作者单位E-mail
彭书勤 重庆交通大学 peng_shuqin@163.com 
吕琛 北京航空航天大学  
黄大荣 安徽大学  
程玉杰* 北京航空航天大学 yujiecheng.ok@163.com 
赵玲 重庆交通大学  
中文摘要
      故障模式与影响分析(FMEA)是一种主动的风险评估技术, 其主要目的是根据其风险水平对故障模式进行 排序, 并执行后续行动以消除或减轻其后果. 为克服传统FMEA技术通过风险优先级数(RPN)来确定关键故障模式带来的缺陷. 本文提出了一种新的集成多准则决策(MCDM)方法, 即将直觉模糊层次分析过程(IFAHP)与改进的模糊多属性理想现实比较分析(FMAIRCA)相结合. 首先, 本文通过IFAHP方法来计算风险因素权值; 然后, 使用本文提出的改进FMAIRCA模型推导出故障模式的排序; 此外, 在整个过程中还考虑了专家的客观权重; 最后, 考虑FMEA 领域中的一个案例来验证所提出的方法, 结果表明, 本文提出的方法为FMEA的风险评估提供一种实用而有效的方法.
英文摘要
      Failure mode and effect analysis (FMEA) is an active risk assessment technology, which is mainly used to sort failure modes according to their risk levels and implement follow-up actions to eliminate or mitigate their consequences. To overcome the defects caused by the traditional FMEA technology, the risk priority number (RPN) is used to determine the critical failure mode. In this paper, a new integrated multi criteria decision making (MCDM) method is proposed, which combines intuitionistic fuzzy analytic hierarchy process (IFAHP) with improved fuzzy multi-attribute ideal reality comparative analysis (FMAIRCA). Firstly, this paper calculates the weight of risk factors through IFAHP method, and then deduces the order of failure modes using the improved FMAIRCA model proposed in this paper. In addition, the objective weight of experts is also considered in the whole process. Finally, a case in the FMEA field is considered to verify the proposed method, the results show that the proposed method provides a practical and effective method for the FMEA risk assessment.