现代制造工程 ›› 2024, Vol. 524 ›› Issue (5): 145-152.doi: 10.16731/j.cnki.1671-3133.2024.05.019

• 设备设计/诊断维修/再制造 • 上一篇    下一篇

基于改进FMEA的智能制造系统可靠性与风险评估*

周倩, 黄佳, 宋明顺, 张月义   

  1. 中国计量大学经济与管理学院,杭州 310018
  • 收稿日期:2023-06-12 出版日期:2024-05-18 发布日期:2024-05-30
  • 通讯作者: 黄佳,博士,副教授,主要研究方向为质量管理和可靠性工程。E-mail:jiahuang@cjlu.edu.en
  • 作者简介:周倩,硕士研究生,主要研究方向为质量管理和可靠性工程。E-mail:15200403961@163.com;宋明顺,博士,教授,主要研究方向为质量管理与标准化。张月义,博士,教授,主要研究方向为质量标准化、质量工程与管理。
  • 基金资助:
    *国家自然科学基金项目(72001196);浙江省自然科学基金项目(LQ21G010004)

Reliability and risk assessment model of intelligent manufacturing system based on improved FMEA

ZHOU Qian, HUANG Jia, SONG Mingshun, ZHANG Yueyi   

  1. College of Economic and Management,China Jiliang University,Hangzhou 310018,China
  • Received:2023-06-12 Online:2024-05-18 Published:2024-05-30

摘要: 提出一种改进失效模式与影响分析(Failure Mode and Effect Analysis,FMEA)模型用于智能制造系统可靠性风险评估。首先基于文献法、专家访谈和鱼骨图分析法,从人、机、料、法、环(Human-Machine-Material-Method-Environment,4M1E)五个方面识别智能制造运行过程中的潜在失效模式;其次使用三角模糊数获取专家对失效模式的风险评估信息,风险因子权重由结构熵权法计算确定;最后运用模糊C均值(Fuzzy C-Means,FCM)算法划分失效模式的风险等级。此外,为了检验结果的有效性和可靠性,采用对比分析和蒙特卡洛仿真进行验证。

关键词: 智能制造系统, 失效模式与影响分析, 可靠性风险评估, FCM算法

Abstract: A new Failure Mode and Effects Analysis (FMEA) model is proposed for risk assessment of the intelligent manufacturing system. Firstly, based on the literature method, expert interviews and fishbone diagram analysis method, the potential failure modes of intelligent manufacturing system are identified from Human-Machine-Material-Method-Environment (4M1E). Secondly, the triangular fuzzy number is used to obtain the risk assessment results of each failure mode and the weights of risk factors are determined by the structural entropy weight method. Finally, the Fuzzy C-Means (FCM) algorithm is used to divide the risk levels of the identified failure modes. Besides, the effectiveness and reliability of the results are verified through comparative analysis and Monte Carlo simulation experiment.

Key words: intelligent manufacturing system, Failure Mode and Effect Analysis (FMEA), reliability risk assessment, Fuzzy C-Means (FCM) algorithm

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