基于FMECA信息的测试性验证试验样本分配方法

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。

Samples allocation method based on FMECA information for testability verification test

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.