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

发布时间：2018-03-08 05:17

本文选题：产品再设计模块识别　切入点：故障模式与影响分析　出处：《上海交通大学学报》2017年10期 　论文类型：期刊论文

【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.
[Abstract]:In view of the fact that the existing redesign methods are based on the user's demand and less consider the problem of product running fault data, the existing redesign method is based on the product running fault data. A method of redesigning module identification based on fuzzy random fault mode and impact analysis (Failure Mode and Effects Analysis) is presented. The necessity index of redesign is introduced as the basis of product module redesign. According to the randomness of fault occurrence and the fuzziness of risk judgment, a fuzzy stochastic FMEA model is constructed to measure the relationship between fault pattern and product module. The credibility theory and the fuzzy random simulation technique are used to deal with the multi-valued problem of fuzzy variables and random variables, and the feasibility and validity of the proposed method are verified by the re-design module identification of crawler cranes.
【作者单位】：上海交通大学机械与动力工程学院;
【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
【分类号】：TH213.7

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