鱼雷装备寿命分布拟合方法比较研究
Contrast Study on the Fitting Method of Life Distribution of Torpedo Equipment
DOI: 10.12677/MOS.2019.81003, PDF,    国家科技经费支持
作者: 王新鹏, 张静远, 王鹏*:海军工程大学兵器工程学院,湖北 武汉;应新永:91115部队,浙江 舟山
关键词: 鱼雷寿命分布极大似然估计极小χ2估计参数估计拟合优度检验Torpedo Life Distribution Maximum Likelihood Estimation Minimum χ2 Estimation Parameter Estimation Goodness of Fit Test
摘要: 寿命分布拟合是鱼雷装备可靠性研究的前提。以部队服役时间较长的某型鱼雷的失效数据为基础,利用极大似然估计方法和极小χ2估计拟合方法分别进行参数估计和拟合优度检验,确定最佳的寿命分布函数。通过实例比较研究,极小χ2估计拟合方法拟合效果更好,更能反映装备可靠性变化规律,具有更好的工程实践价值。
Abstract: The life distribution fitting is the precondition of the torpedo equipment reliability research. Based on the failure data of torpedo with long service life, the maximum likelihood estimation method and the minimum χ2 estimation fitting method are respectively used for parameter estimation and goodness of fit test to determine the best life distribution function. Through the example comparison, the minimum χ2 estimation fitting method fits better and can better reflect the variation rule of equipment reliability, and has better engineering practice value.
文章引用:王新鹏, 张静远, 王鹏, 应新永. 鱼雷装备寿命分布拟合方法比较研究[J]. 建模与仿真, 2019, 8(1): 14-21. https://doi.org/10.12677/MOS.2019.81003

参考文献

[1] 杨振海, 程维虎, 张军舰. 拟合优度检验[M]. 北京: 科学出版社, 2011.
[2] 罗赓, 穆希辉, 杨振海, 等. 某装备系统机电产品贮存可靠性评估方法[J]. 火力指挥与控制, 2015, 40(4): 176-180.
[3] Chen, Z. (2003) Component Reliability Analysis of K-out-of-n Systems with Censored Data. Journal of Statistical Planning and Inference, 116, 305-315. [Google Scholar] [CrossRef
[4] Whitman, C.S. (2003) Accelerated Life Test Cal-culations Using the Method of Maximum Likelihood: An Improvement over Least Squares. Microelectronics Reliability, 43, 859-864. [Google Scholar] [CrossRef
[5] Sarhan, A.M. (2003) Estimations of Parameters in Pareto Reliability Model in the Presence of Masked Data. Reliability Engineering and System Safety, 82, 75-83. [Google Scholar] [CrossRef
[6] 龚自立, 贾新章, 白永亮. 元器件质量与可靠性数据统计分布规律的拟合[J]. 西安电子科技大学学报, 2001, 28(3): 336-339.
[7] 祝逢春, 王晓鸣, 崔大伟, 等. 航空弹药失效分布拟合方法比较研究[J]. 弹箭与制导学报, 2006, 26(2): 922-925.
[8] 王岩, 隋思涟. 数理统计与MATLAB数据分析[M]. 第2版. 北京: 清华大学出版社, 2014.