兵器工业

 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

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  •  上海交通大学 机械与动力工程学院, 上海 200240

网络出版日期: 2017-10-31

基金资助

 

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

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  •  School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Online published: 2017-10-31

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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.

本文引用格式

周鹏辉,马红占,陈东萍,陈梦月,褚学宁 .  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[J]. 上海交通大学学报, 2017
, 51(10) : 1189 -1195 . DOI: 10.16183/j.cnki.jsjtu.2017.10.006

Abstract

 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.

参考文献

 [1]李良. 工程机械产品识别设计策略研究[D].长沙: 湖南大学设计艺术学院, 2013.
[2]黄风立. 基于顾客满意度的产品方案再设计研究[D]. 杭州: 浙江工业大学科学院, 2005.
[3]SMITH S, SMITH G, SHEN Y, Redesign for product innovation[J]. Design Studies, 2012, 33(2): 160184.
[4]杨涛, 杨育, 薛承梦, 等. 考虑客户需求偏好的产品创新设计方案多属性决策评价[J]. 计算机集成制造系统, 2015, 21(2): 417426.
YANG Tao, YANG Yu, XUE Chengmeng, et al. Multiattribute decisionmaking evaluation method for product innovation design scheme with demand preferences of customers[J]. Computer Integrated Manufacturing Systems, 2015, 21(2): 417426.
[5]徐芳平. 基于在线评论的产品再设计需求研究[D].大连: 大连理工大学科学院, 2012.
[6]XU K , TANG L C , XIE M , et al. Fuzzy assessment of FMEA for engine systems[J]. Reliability Engineering and System Safety, 2002, 75(1): 1729.
[7]BOWLES J B, PELAEZ C E. Fuzzy logic prioritization of failures in a system failure modes effects and criticality analysis[J].Reliability Engineering System Safety, 1995, 50(2): 203213.
[8]KAI M T, LIM C P. Fuzzy FMEA with a guided rules reduction system for prioritization of failures [J]. International Journal of Quality & Reliability Management, 2006, 23(8): 10471066.
[9]门峰. 模糊集理论与灰色关联理论的FMEA方法[J]. 工业工程, 2008, 11(4): 109112.
MEN Feng. FMEA method based upon fuzzy set theory and grey relational theory[J]. Industrial Engineering Journal, 2008, 11(4): 109112.
[10]ZHANG Zaifang, CHU Xuening. Risk prioritization in failure mode and effects analysis under uncertainty[J]. Expert Systems with Applications, 2011, 38(1): 206214.
[11]LIU B, LIU Y. Expected value of fuzzy variable and fuzzy expected value models[J]. IEEE Transactions on Fuzzy Systems, 2002, 10(4): 445450.
[12]凌丹. 威布尔分布模型及其在机械可靠性中的应用研究[D].成都: 电子科技大学科学院, 2011.
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