CAJ | 학술논문

针对目前机电设备测试性验证试验中，因样本分配不合理导致试验结论置信度低的问题，通过分析影响试验结论置信度的4个关键因素即故障模式数、故障率、故障扩散强度总和与危害度，提出了基于多因子的样本分配方案。方案依据多因子综合相对比值，得出各UUT所分配的样本量，达到优化样本结构，提高样本集代表性的目的。对单步故障扩散算法进行了改进，改进后的算法可以更有效地计算故障扩散强度，并以某机电设备稳定跟踪平台为例进行了样本分配，比较分析抽样结果证明，应用该方案得到的样本结构更加合理，可以使试验结论有较好的置信度。
침대목전궤전설비측시성험증시험중，인양본분배불합리도치시험결론치신도저적문제，통과분석영향시험결론치신도적4개관건인소즉고장모식수、고장솔、고장확산강도총화여위해도，제출료기우다인자적양본분배방안。방안의거다인자종합상대비치，득출각UUT소분배적양본량，체도우화양본결구，제고양본집대표성적목적。대단보고장확산산법진행료개진，개진후적산법가이경유효지계산고장확산강도，병이모궤전설비은정근종평태위례진행료양본분배，비교분석추양결과증명，응용해방안득도적양본결구경가합리，가이사시험결론유교호적치신도。
In the testability verification test for electromechanical equipment ,the confidence level is usually low since the sample allocation method is not rational .To solve the problem,we proposed a new sample allocation method based on multi-factor by analyzing the key factors that have effect on the confidence level of conclusion .The sample size of each Unit Under Test ( UUT) was calculated out according to the relative ratio of integrated multi-factor,which could optimize the failure sampling structure and improve the representation of failure sampling set .Moreover,the single-step failure propagation algorithm was improved, and the improved algorithm can calculate failure propagation intensity more effectively .We made sample allocation by taking a certain stabilization and tracking platform as an example .The result showed that the scheme can optimize failure sampling structure and improve the confidence level of the testability verification test conclusion .