摘要
针对现行可靠性鉴定试验标准GJB-899A中提供的试验鉴定方案存在试验时间过长或试验风险过大,且当前可靠性鉴定试验设计大多只依赖于产品自身的寿命数据,而对产品研制过程中的可靠性增长数据利用较少的问题,以寿命服从指数分布的产品为研究对象,基于美军陆军装备分析中心提出的可靠性增长模型AMSAA模型对产品研制阶段的可靠性增长过程进行建模。再利用Bayes方法基于产品可靠性增长过程的试验数据来获取产品寿命分布,计算产品可靠性鉴定试验方案的生产方风险和使用方风险,进而推导得到满足风险要求的产品可靠性鉴定试验方案。通过实例分析以及与GJB899A所提出的试验方案对比,验证了所提方法的可行性与先进性。
To solve the problems that the current reliability qualification test(RQT)standard GJB-899A provides a test qualification plan that has long test time or high test risks,and most RQT designs only rely on the product’s own life data currently,with rare utilization of reliability growth data during the product development,a reliability growth process during the product development phase is modeled for products with an exponential distribution of lifespan,based on the army material systems analysis activity(ASMAA)model.The Bayes method is used to obtain the product life distribution based on the test data of the product reliability growth process,calculate the producer and user risks of the product RQT plan,and then derive the product RQT plan that meets the risk requirements.The feasibility and progressiveness of the proposed method are verified by case analysis and comparison with the test scheme proposed by GJB-899A.
作者
张点
邢云燕
蒋平
ZHANG Dian;XING Yunyan;JIANG Ping(College of Systems Engineering,National University of Defense Technology,Changsha 410073,China)
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2023年第11期3699-3705,共7页
Systems Engineering and Electronics
基金
国家自然科学基金(72271239)资助课题。
关键词
可靠性鉴定试验
可靠性增长过程
指数分布
BAYES方法
reliability qualification test(RQT)
reliability growth process
exponential distribution
Bayes method