留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

用自助加权范数法评估三参数威布尔分布可靠性最优置信区间

夏新涛 徐永智 金银平 尚艳涛 陈龙

夏新涛, 徐永智, 金银平, 尚艳涛, 陈龙. 用自助加权范数法评估三参数威布尔分布可靠性最优置信区间[J]. 航空动力学报, 2013, 28(3): 481-488.
引用本文: 夏新涛, 徐永智, 金银平, 尚艳涛, 陈龙. 用自助加权范数法评估三参数威布尔分布可靠性最优置信区间[J]. 航空动力学报, 2013, 28(3): 481-488.
XIA Xin-tao, XU Yong-zhi, JIN Yin-ping, SHANG Yan-tao, CHEN Long. Assessment of optimum confidence interval of reliability with three-parameter Weibull distribution using bootstrap weighted-norm method[J]. Journal of Aerospace Power, 2013, 28(3): 481-488.
Citation: XIA Xin-tao, XU Yong-zhi, JIN Yin-ping, SHANG Yan-tao, CHEN Long. Assessment of optimum confidence interval of reliability with three-parameter Weibull distribution using bootstrap weighted-norm method[J]. Journal of Aerospace Power, 2013, 28(3): 481-488.

用自助加权范数法评估三参数威布尔分布可靠性最优置信区间

基金项目: 国家自然科学基金(51075123,50675011)

Assessment of optimum confidence interval of reliability with three-parameter Weibull distribution using bootstrap weighted-norm method

  • 摘要: 提出自助加权范数法,以评估三参数威布尔分布可靠性的最优置信区间.基于可靠性经验值与理论值的差异,通过6个最小加权范数准则,构建出威布尔分布的最优参数信息向量.对最优参数信息向量进行自助再抽样,获得生成参数信息向量,用于模拟参数的概率密度函数.在给定置信水平下,求解出参数的估计真值及其置信区间,并据此建立可靠性的估计真值函数及其最优置信区间函数.滚动轴承性能寿命案例、直升机部件失效案例与某试件疲劳寿命案例的研究表明:使用自助加权范数法,估计真值函数与可靠性经验值相一致,最优置信区间函数能描述试验结果的真实状态.

     

  • [1] 赵薇,张义民.振动传递路径系统的传递可靠性灵敏度[J].航空动力学报,2012,27(5):1080-1086. ZHAO Wei,ZHANG Yimin.Reliability sensitivity of vibration transfer path systems[J].Journal of Aerospace Power,2012,27(5):1080-1086.(in Chinese)
    [2] 冯文哲,刘琦.成败型产品的Bayes可靠性验证试验设计[J].航空动力学报,2012,27(1):110-117. FENG Wenzhe,LIU Qi.Bayesian reliability demonstration test design for binomial distributed product[J].Journal of Aerospace Power,2012,27(1):110-117.(in Chinese)
    [3] XIA Xintao.Forecasting method for product reliability along with performance data[J].Journal of Failure Analysis and Prevention,2012,12(5):532-540.
    [4] Pierce D M,Zeyen B,Huigens B M,et al.Predicting the failure probability of device features in MEMS[J].IEEE Transactions on Device and Materials Reliability,2011,11(3):433-441.
    [5] 蒋仁言,左明健.可靠性模型与应用[M].北京:机械工业出版社,1999.
    [6] 范英,王顺坤,晋民杰.多种数据状态下三参数Weibull分布的极大似然估计[J].机械强度,2012,34(1):53-57. FAN Ying,WANG Shunkun,JIN Minjie.Maximum likelihood estimation of three-parameter Weibull distribution in wide range of data state[J].Journal of Mechanical Strength,2012,34(1):53-57.(in Chinese)
    [7] Abbasi B,Niaki S T A,Khalife M A,et al.A hybrid variable neighborhood search and simulated annealing algorithm to estimate the three parameters of the Weibull distribution[J].Expert Systems with Applications,2011,38(1):700-708.
    [8] El-Adll M E.Predicting future lifetime based on random number of three parameters Weibull distribution[J].Mathematics and Computers in Simulation,2011,81(9):1842-1854.
    [9] Bartkute N V,Sakalauskas L.Consistent estimator of the shape parameter of three-dimensional Weibull distribution[J].Communications in Statistics:Theory and Methods,2011,40(16):2985-2996.
    [10] Dario P T C,Thomas U.General probability weighted moments for the three-parameter Weibull distribution and their application in S-N curves modeling[J].International Journal of Fatigue,2011,33(12):1533-1538.
    [11] 邓建,古德生,李夕兵.确定可靠性分析Weibull分布参数的概率加权矩法[J].计算力学学报,2004,21(5):609-613. DENG Jian,GU Desheng,LI Xibeng.Parameters and quantile estimation for fatigue life distribution using probability weighted moments[J].Chinese Journal of Computational Mechanics,2004,21(5):609-613.(in Chinese)
    [12] 赵新攀,吕震宙,王维虎.基于概率加权矩的三参数Weibull分布母体百分位值和可靠度置信限估计的新方法[J].西北工业大学学报,2010,38(3):470-475. ZHAO Xinpan,LV Zhenzhou,WANG Weihu.A practical and effective method for estimating confidence limits of population percentile and reliability of three-parameter Weibull distribution on probability weighted moment[J].Journal of Northwestern Polytechnical University,2010,38(3):470-475.(in Chinese)
    [13] 郭必柱,邓建.可靠性分析威布尔三参数估计方法比较分析[J].科学技术与工程,2012,10(25):6117-6122. GUO Bizhu,DENG Jian.Comparative study on parameters estimation methods for fatigue life distribution on reliability[J].Science Technology and Engineering,2012,10(25):6117-6122.(in Chinese)
    [14] REN Gongchang,YANG Zhiwei,MENG Bomin.Reliability evaluation on machining center based on three-parameter Weibull distribution[J].Advanced Materials Research,2012,430/431/432:1645-1649.
    [15] Abdollah S,Bruce R E.Confidence intervals for reliability indices using likelihood ratio statistics[J].Structural Safety,2012,38:48-55.
    [16] Johnson L G.Theory and Technique of Variation Research[M].New York:Elsevier,1970.
    [17] Nelson W.Accelerated testing:statistical models,test plans,and data analysis[M].New York:John Wiley & Sons,1990.
    [18] Kaplan E L,Meier P.Nonparametric estimation from incomplete observations[J].Journal of American Statistical Association,1958,53(282):457-481.
    [19] Efron B.Bootstrap methods[J].The Annals of Statistics,1979,7(1):1-36.
    [20] Rarnan R,Grillo P.Minimizing uncertainty in vapour cloud explosion modeling[J].Process Safety and Environmental Protection,2005,83(4):298-306.
    [21] XIA Xintao,CHEN Xiaoyang,ZHANG Yongzhen,et al.Grey bootstrap method of evaluation of uncertainty in dynamic measurement[J].Measurement,2008,41(6):687-696.
    [22] Luxhoy T J,Shyur H J.Reliability curve fitting for aging helicopter components[J].Reliability Engineering and System Safety,1995,48(3):229-234.
  • 加载中
计量
  • 文章访问数:  1964
  • HTML浏览量:  226
  • PDF量:  1382
  • 被引次数: 0
出版历程
  • 收稿日期:  2012-07-28
  • 刊出日期:  2013-03-28

目录

    /

    返回文章
    返回