中国机械工程

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基于BB算法的左截断威布尔分布可靠性分析

孔祥芬1;张凯奇1;张俊2;张飞2   

  1. 1.中国民航大学航空工程学院,天津,300300
    2.深圳航空有限责任公司维修工程部,深圳,518000
  • 出版日期:2017-08-10 发布日期:2017-08-07
  • 基金资助:
    航空科学基金资助项目(20130267001)

Reliability Analysis of Left-truncated Weibull Distribution Modified by BB Algorithm

KONG Xiangfen1;ZHANG Kaiqi1;ZHANG Jun2;ZHANG Fei2   

  1. 1.College of Aeronautical Engineering, Cival Aviation University of China, Tianjin,300300
    2.Maintenance & Engineering Department of Shenzhen Airlines, Shenzhen, Guangdong,518000
  • Online:2017-08-10 Published:2017-08-07

摘要:

针对寿命分布类型和参数估计方法问题,对国内某航空公司现役机型B737-800飞机主起落架减振支柱漏油故障数据进行可靠性分析。结合数据类型特点,初步预判其寿命分布类型可能为左截断两参数威布尔分布、对数正态分布、指数分布。基于极大似然估计法分别估计三种分布的未知参数,并利用根据BB算法改进的柯尔莫哥洛夫-斯米尔诺夫假设检验(K-S检验)法判断其寿命分布类型。实证分析结果表明,采用左截断两参数威布尔分布来拟合是合适的,并提出了具体维修建议。

关键词: 起落架, 可靠性分析, 极大似然估计, K-S检验, 左截断威布尔分布, BB算法

Abstract: A reliability analysis was done based on the failure data of B737-800 main landing gear shock strut oil leakages herein, which came from a domestic airlines' electronic records, in consideration of the life distribution type and parameter estimation method. The characteristics of data preliminarily demonstrated that the life distribution type might be left-truncated two parameter Weibull distribution, logarithmic normal distribution or exponential distribution. Next, the parameters corresponding to three types of distributions were estimated by using the MLE method. Then, the Kolmogorov-Smirnov(K-S) hypothesis test, which modified by BB algorithm and goodness-of-fit test , was used to identify and confirm the life distribution function model. The analysis results show that the distribution of the data is left-truncated two parameter Weibull distribution. In the end, reasonable maintenance plan and optimized maintenance scheme are provided.

Key words: landing gear, reliability analysis, maximum likelihood estimation(MLE), Kolmogorov-Smirnov (K-S)hypothesis testing, left-truncated Weibull distribution, BB(Brownian Bridge-Donsker's)algorithm

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