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基于故障率的测试性验证试验故障样本分配方案
引用本文:李天梅,邱静,刘冠军.基于故障率的测试性验证试验故障样本分配方案[J].航空学报,2009,30(9):1661-1665.
作者姓名:李天梅  邱静  刘冠军
作者单位:国防科技大学,机电工程与自动化学院,湖南,长沙,410073
基金项目:国家“十一五”部委基金(51317040102)
摘    要: 现有的分层抽样算法中故障率数据不准确是导致测试性验证试验结果不可信的一个原因。为解决这个问题,提出了利用验前信息和Monte Carlo仿真相结合的方法计算故障率。首先考虑故障率的随机特性和量级范围,用Gamma分布来拟合故障率的概率分布,根据上下限分位点确定了Gamma分布中的超参数。然后利用舍取抽样得到了大量的服从Gamma分布的随机数,求平均值作为实际系统的故障率值。以此故障率数据进行分层抽样,得到的故障样本分配方案更合理,试验结果更可信。

关 键 词:测试性验证试验  故障样本分配  分层抽样  故障率  Gamma分布  蒙特卡罗方法  

Allocation Plan of Failure Samples Based on Failure Rate in Testability
Li Tianmei,Qiu Jing,Liu Guanjun.Allocation Plan of Failure Samples Based on Failure Rate in Testability[J].Acta Aeronautica et Astronautica Sinica,2009,30(9):1661-1665.
Authors:Li Tianmei  Qiu Jing  Liu Guanjun
Affiliation:College of Mechatronics Engineering and Automation;National University of Defense Technology;Changsha 410073;China
Abstract:Inaccuracies in the present proportionate stratified sampling algorithm based on fuzzy failure rate data is one main cause which makes the testability demonstration results untrustworthy.In order to solve the problem,a new allocation plan is formed which takes into consideration the empirical prior information combined with Monte Carlo simulation.First,the Gamma distribution is applied to fit failure rate data by considering the randomness and order of failure rate,and then,the parameters in Gamma distribut...
Keywords:testability demonstration tests  allocation of failure sample  stratified sampling  failure rate  Gamma distribution  Monte Carlo methods  
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