Tentative of reliability integrated assessment method based on exponential regression model
-
摘要: 针对我国军工产品在研制过程中由于投试样品相对较少、可靠性信息量不足这一问题,通过引入环境应力严酷程度因子,环境应力综合因子以及产品技术状态因子,利用指数回归模型,建立了多因素多元回归的可靠性综合评价方法,实现了基于性能试验,环境试验及可靠性试验的产品可靠性综合评价.该方法避免了不同环境条件下寿命数据的折合过程,而通过对回归系数的求解给出可靠性指标的估计,与经典的变环境变母体的可靠性综合评价方法有所差别.Abstract: The multi-regress-analysis reliability assessment method was built based on the exponential regression model with environmental severe degree factor, environmental integrated factor and technique state of the product factor, which aims at the less information because of the fewer ones for testing in the development process of military products for reliability assessment. The method can estimate the reliability parameters using performance test, environmental test and reliability test data of products in development. In this method, the conversion of life data under different environments is avoided and the regression parameters will be calculated to give the pertinent reliability parameters, which is quite different from the classic reliability integrated assessment method.
-
Key words:
- reliability /
- integrated assessment /
- exponential regression model
-
[1] 龚庆祥.型号可靠性工程手册[M].北京:国防工业出版社, 2007:532-543 Gong Qingxiang.Military product reliability engineering handbook[M].Beijing:National Defense Industry Press,2007:532-543(in Chinese) [2] Lawless J F.寿命数据中的统计分析模型与方法[M].北京中国统计出版社, 1998:278-302 Lawless J F. Statistical models and methods for lifetime data[M]. Beijing: China Statistics Press, 1998: 278-302(in Chinese) [3] Lawless J F, Singhal K. Analysis of data from life-test experiments under an exponential model[J]. Naval Research Logistic Quarterly, 1980, 27:323-334 [4] 韩於羹.应用数理统计[M].北京:北京航空航天大学出版社, 1989:191-204(in Chinese) Han Yugeng. Applied symbolic statistics[M]. Beijing: Beijing University of Aeronautics and Astronautics Press, 1989: 191-204(in Chinese) [5] GJB899-1990,可靠性鉴定和验收试验[S] GJB899-1990, Reliability qualification and acceptance test[S](in Chinese) -
点击查看大图
计量
- 文章访问数: 3809
- HTML全文浏览量: 215
- PDF下载量: 1202
- 被引次数: 0
下载:
