北京航空航天大学学报 ›› 2017, Vol. 43 ›› Issue (3): 627-635.doi: 10.13700/j.bh.1001-5965.2016.0163

• 论文 • 上一篇    下一篇

基于FMECA信息的测试性验证试验样本分配方法

陈然1,2, 连光耀1,2, 黄考利2, 闫鹏程2, 耿梦雪2, 王凯2   

  1. 1. 军械工程学院 导弹工程系, 石家庄 050000;;
    2. 军械技术研究所, 石家庄 050003
  • 收稿日期:2016-03-04 出版日期:2017-03-20 发布日期:2016-09-12
  • 通讯作者: 连光耀,E-mail:ddgcx@163.com E-mail:ddgcx@163.com
  • 作者简介:陈然,男,硕士研究生。主要研究方向:装备测试性验证试验与评估。;连光耀,男,博士,高级工程师,硕士生导师。主要研究方向:装备测试性设计、分析与验证,故障诊断。;黄考利,男,博士,研究员,博士生导师。主要研究方向:装备测试性设计与分析,故障诊断。
  • 基金资助:
    国防预研项目(51327030104)

Samples allocation method based on FMECA information for testability verification test

CHEN Ran1,2, LIAN Guangyao1,2, HUANG Kaoli2, YAN Pengcheng2, GENG Mengxue2, WANG Kai2   

  1. 1. Department of Missile Engineering, Ordnance Engineering College, Shijiazhuang 050000, China;;
    2. Ordnance Technological Research Institutes, Shijiazhuang 050003, China
  • Received:2016-03-04 Online:2017-03-20 Published:2016-09-12

摘要: 针对目前国内外测试性验证试验中普遍采用的基于故障率的分层抽样方法考虑因素单一,可能导致样本分配不尽合理,而现有考虑多因素的样本分配方法代表性不足,难以实现工程上的应用的问题,对影响样本分配的因素与故障模式影响及危害性分析(FMECA)信息的关系进行了详细分析,提出了基于FMECA信息的样本分配方法。首先定义了单元影响系数和影响因子向量,提出了向量各元素赋值规则,解决了影响因素选取的问题;其次通过基于逼近理想解排序法(TOPSIS)优化的层次分析法确定了权值矩阵,实现了样本分配。最后通过实例验证表明该方法考虑因素全面,运用灵活,更具代表性和工程应用价值。

关键词: 测试性验证试验, 故障模式影响及危害性分析(FMECA), 样本分配, 影响因素, 逼近理想解排序法(TOPSIS), 层次分析法

Abstract: Sample allocation method of stratified sampling based on failure rate that is widely utilized in testability verification test considers only one single factor, which may lead to inaccurate assessment. Sample allocation method based on multiple factors is difficult to be used in engineering due to its limited representativeness. In this paper, the relation between factors that may influence the sample allocation and information provided by failure mode effect and critically analysis (FMECA) is analyzed in detail, and a sample allocation method based on FMECA information is presented. First, element influence coefficient and influence factor vector are defined and assignment rule of each element is put forward so that influence factors can be selected. Then, samples are allocated after the determination of weight matrix through analytic hierarchy process which is based on technique for order preference by similarity to ideal solution (TOPSIS). Finally, case study is conducted, indicating that the sample allocation method based on FMECA factors has a comprehensive consideration and a flexible application, which is more valuable in engineering.

Key words: testability verification test, failure mode effect and critically analysis (FMECA), sample allocation, influence factor, technique for order preference by similarity to ideal solution (TOPSIS), analytic hierarchy process

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