Integrated reliability assessment using varied environment test data
-
摘要: 研究了试验环境对产品可靠性的影响,提出一种利用变环境试验数据的可靠性综合评估方法.利用Cox比例风险模型来描述产品的可靠性与试验环境因素的关系,给出不同环境因素对产品可靠性影响的定量度量.结合产品的可靠性模型提出一种数据折合方法.分别以指数分布和双参数Weibull分布为例,把不同环境条件下的试验数据折合为相同环境条件下的试验数据,进而利用这些试验数据对产品进行可靠性综合评估.该方法综合利用产品在不同环境条件下的试验数据,扩大了样本量,提高了产品可靠性评估精度.实例表明该方法合理可行,便于工程应用.Abstract: The influence of environment on reliability was studied, and a method of integrated reliability assessment using varied environment test data was put forward. The relations of reliability and environment factors were described by the Cox proportional hazards model, and the influences of environment factors were measured. According to the reliability model and the measurement, a new data conversion was proposed to convert the test data of varied environment into that of the same environment. Then the reliability of product was assessed synthetically with the converted test data. With the method, the varied environment test data is used synthetically to enlarge the sample size and increase the information for reliability assessment. Thus, the precision of reliability assessment is improved. The example shows that the method is reasonable, and it is convenient for engineering.
-
[1] 赵宇,黄敏.变母体变环境数据的可靠性综合评估模型[J].北京航空航天大学学报, 2002,28(5):597-600 Zhao Yu, Huang Min. Integrated evaluation model of reliability based on varied population-environment data [J]. Journal of Beijing University of Aeronautics and Astronautics, 2002, 28 (5):597-600(in Chinese) [2] 何书元,赵宇,房祥忠.估计不同环境下的设备可靠性[J].数理统计与管理, 2007, 26(6): 1007-1011 He Shuyuan, Zhao Yu,Fang Xiangzhong. Equipment reliability estimation under different environment [J]. Application of Statistics and Management, 2007, 26(6):1007-1011(in Chinese) [3] 赵宇,黄敏,王智.一种用于变环境数据的可靠性增长分析模型[J].航空学报,2002,23(2):111-114 Zhao Yu, Huang Min, Wang Zhi. Model of reliability growth evaluating to various environments [J].Acta Aeronautica & Astronautica Sinica, 2002, 23(2):111-114 (in Chinese) [4] 李凤,师义民,荆源.两参数Weibull分布环境因子的Bayes估计[J]. 系统工程与电子技术,2008,30(1):186-189 Li Feng, Shi Yimin, Jing Yuan. Bayesian estimation for environmental factor of two parameter of Weibull distribution [J]. Systems Engineering and Electronics, 2008, 30(1):186-189 (in Chinese) [5] Tebbi O, Gu rin F, Dumon B. Statistical analysis of accelerated experiments in mechanics using a mechanical accelerated life model Proceedings Annual Reliability and Maintainability Symposium.Tampa:IEEE, 2003:124-131 [6] 傅博,杜振华,赵宇.一种基于遗传算法的环境因子确定方法[J].北京航空航天大学学报,2004,30(5):465-468 Fu Bo, Du Zhenhua, Zhao Yu. Acquirement method of environmental factor with genetic algorithm [J]. Journal of Beijing University of Aeronautics and Astronautics, 2004, 30(5):465-468 (in Chinese) [7] Wendai W, Dimitri B K. Fitting the Weibull log-linear model to accelerated life-test data [J]. IEEE Transactions on Reliability, 2000, 49(2):217-223 [8] Mettas A. Modeling & analysis for multiple stress-type accelerated life data //Proceedings Annual Relability and Maintainability Symposium.Los Angeles:IEEE, 2000:138-143 [9] Cox D R. Regression models and life-tables [J].Journal of the Royal Statistical Society. Series B (Methodological), 1972, 34(2):187-220 [10] Lawless J F. Statistical models and methods for lifetime data [M]. New York: John Wiley& Sons,2003:105-108
点击查看大图
计量
- 文章访问数: 3620
- HTML全文浏览量: 151
- PDF下载量: 1303
- 被引次数: 0