[1]王广伟,等.基于Bayes的火箭弹高、低温环境试验方法[J].南京理工大学学报(自然科学版),2009,(01):88-92.
 WANG Guang-wei,RUI Xiao-ting,WANG Guo-ping.High and Low Temperature Environment Test Method of Rockets Based on Bayes[J].Journal of Nanjing University of Science and Technology,2009,(01):88-92.
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基于Bayes的火箭弹高、低温环境试验方法
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2009年01期
页码:
88-92
栏目:
出版日期:
2009-02-28

文章信息/Info

Title:
High and Low Temperature Environment Test Method of Rockets Based on Bayes
作者:
王广伟1 2 芮筱亭1 王国平1
1. 南京理工大学动力工程学院, 江苏南京210094; 2. 中国白城兵器试验中心, 吉林白城137001
Author(s):
WANG Guang-wei12RUI Xiao-ting1WANG Guo-ping1
1.School of Power Engineering,NUST,Nanjing 210094,China;2.Baicheng Ordnance Test Center,Baicheng 137001,China
关键词:
火箭弹 高温 低温 试验 贝叶斯方法
Keywords:
rockets high temperature low temperature tests Bayesian method
分类号:
TJ415
摘要:
针对现有国军标规定的高、低温环境试验用弹量难以适用昂贵火箭弹定型试验的需要,提出了应用专家经验和Bayes方法的高低温环境下减少试验用弹量的试验方法。根据检测人员对标准样柱裂纹和脱粘检出结果,利用混合Beta分布确定检测人员每天检出概率的先验分布,导出在一定检出率要求下的检测次数,采用先验和Bayes方法确定高低温环境下的试验用弹量,与现行方法相比,在不降低试验要求的情况下,大幅度减少了试验用弹量。
Abstract:
The method to determine rocket numbers in high and low temperature environment test by using experts’ experience and Bayesian method is presented.The rocket numbers prescribed in current China national army criterion for the use in high and low temperature environment test don’t adjust to the design test for costly rockets.The prior distribution of check results of the crack and bond of standard samples by using the mix Beta distribution is developed.The check time is deduced under given check probability.The number of rocket consumption in high and low temperature environment test is presented by using experts’ experience and Bayesian method.The method can decrease the number of rocket consumption in condition of guaranteeing the quality of the test compared with the current methods.

参考文献/References:

[ 1] 赵克升. GJB3113- 97航空火箭弹定型试验规程[M ].北京: 国防科学技术委员会, 1998.

[ 2] G rabsk iF, Sarhan A. Emp irical Bayes estim ation in thecase o f exponentia l reliability[ J]. Reliability Eng ineeringand System Safety, 1996, 53( 2): 105- 113.
[ 3] Szwed P S, Drop J R . A Bayesian m odel for rare eventrisk assessment using expert judgment about pa ired scenariocomparisons[A ]. ASEM National Conference Proceedings[ C]. Tampa, FL: [ s. n. ], 2002. 444- 453.
[ 4] 赵勇辉. 利用先验信息修正经典限的可靠性评估方法[ J]. 系统工程理论与实践, 2002, 22( 5): 71- 75.
[ 5] MartzH F, Wa llerR A. The basics of Bayesian re liabil-ity estmi ation from attribute test da ta[ R]. Un itedM ax-ican States: Los A lamos Sc ientific Laboratory, 1976.
[ 6] 蔡洪, 张士峰, 张金槐. Bayes试验分析与评估[M ].长沙: 国防科技大学出版社, 1992.
[ 7] 茆诗松, 王玲玲. 加速寿命试验[M ]. 北京: 科学出版社, 1997.
[ 8] 5运筹学6教材编写组. 运筹学[M ]. 北京: 清华大学出版社, 1990.
[ 9] 刘玉文, 马建华, 薛晓中, 等. Bayes法鉴定武器系统射击精度研究[ J]. 南京理工大学学报(自然科学版) , 2005, 29( 4): 407- 410.

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备注/Memo

备注/Memo:
基金项目: 国防重点预研项目
作者简介: 王广伟( 1965- ), 男, 博士生, 高级工程师, 主要研究方向: 工程力学, 兵器试验学, E-m ail :w e i_b ill@tom. com。
更新日期/Last Update: 2012-11-19