基于影响度的光电测量设备测试性验证试验样本抽取方法

The sample selection method of testability verification test for photoelectric measuring equipment based on influence degree

为解决目前光电测量设备测试性验证试验中,因样本抽取方法不合理导致试验结论可信度低的问题,通过考虑危害度和故障扩散强度这两个与测试性相关的重要因素,提出了影响度的概念。从功能特征出发,构建功能模块-故障信息模型,利用该模型提出了基于影响度的样本抽取方法并给出试验抽取流程。此方法依据影响度相对比率,随机抽取出被测单元的故障样本,可较好地提高样本集代表性,确保试验结论置信度。并以某型光电测量设备中的时统终端单元为例,利用基于影响度的方法进行样本抽取,比较分析抽取结果证明该方法有效可行。

In order to solve the problem of the low reliability caused by irrational sample selection method in testability veri-fication test for photoelectric measuring equipment,a new concept of influence degree is proposed based on criticality and failure propagation intensity. Start from functional characteristics,the function module-fault information model are constructed. And the sample selection method based on influence degree is proposed by using the model,and the experimental extraction process is given out. According to the relative ratio of influence degree,fault samples of unit under test is sampled in random,which can advance the representativeness of sampling set,and ensure the confidence level of the result. Finally,a timing terminal unit in photoelectric measuring equipment is taken as an example,sample selection using the proposed method. By comparing the re-sults,it is proved that the method is feasible and effective.