基于模糊随机故障模式与影响分析的产品再设计模块识别  

Identification of Product Redesign Modules Based on Fuzzy Random Failure Mode and Effects Analysis

作　　者：周鹏辉 马红占 陈东萍[1] 陈梦月[1] 褚学宁[1] ZHOU Penghui MA Hongzhan CHEN Dongping CHEN Mengyue CHU Xuening(School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, Chin)

机构地区：[1]上海交通大学机械与动力工程学院,上海200240

出　　处：《上海交通大学学报》2017年第10期1189-1195,共7页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金项目(51475290;51075261);高等学校博士学科点专项科研基金项目(20120073110096);第十一期上海交通大学大学生创新实践计划项目(IPP11021)资助

摘　　要：针对现有再设计方法基本以用户需求为依据,较少考虑产品运行故障数据的问题,在产品运行故障数据基础上,提出了一种基于模糊随机故障模式与影响分析(Failure Mode and Effects Analysis,FMEA)的再设计模块识别方法.引入再设计必要性指数作为产品模块再设计的依据,根据故障发生的随机性以及风险判断模糊性特点,构建了模糊随机FMEA模型来度量故障模式与产品模块之间的关联关系,采用可信性理论和模糊随机模拟技术处理模糊变量和随机变量多值性问题,并通过履带起重机再设计模块识别验证了所提方法的可行性与有效性.Redesign is a work for improving a new product after it has been used a period. Identification of the redesign modules is the precondition. The existing identification methods mainly focus on customer demands, without considering product failure data. Therefore, a new identification method is proposed using fuzzy random FMEA. A redesign necessity index is defined to evaluate the design risk of product modules. Considering the randomness and fuzziness of the risk judgment, a fuzzy random FMEA model is constructed to measure the relationship between the failure modes and the product modules. Besides, credibility theory and fuzzy stochastic simulation technique are employed to deal with the multi valued problem of fuzzy variables and random variables. Finally, the feasibility and effectiveness of the proposed method is verified by the identification and verification of the crawler crane.

关 键 词：产品再设计模块识别 故障模式与影响分析 可信性理论 

分 类 号：TH122[机械工程—机械设计及理论] TP391.7[自动化与计算机技术—计算机应用技术]