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整机产品失效机理危害度定量分析方法

袁宏杰 张泽 吴浩

袁宏杰, 张泽, 吴浩等 . 整机产品失效机理危害度定量分析方法[J]. 北京航空航天大学学报, 2013, 39(9): 1208-1211.
引用本文: 袁宏杰, 张泽, 吴浩等 . 整机产品失效机理危害度定量分析方法[J]. 北京航空航天大学学报, 2013, 39(9): 1208-1211.
Yuan Hongjie, Zhang Ze, Wu Haoet al. Quantitative analysis method for mechanism severity of whole product[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(9): 1208-1211. (in Chinese)
Citation: Yuan Hongjie, Zhang Ze, Wu Haoet al. Quantitative analysis method for mechanism severity of whole product[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(9): 1208-1211. (in Chinese)

整机产品失效机理危害度定量分析方法

详细信息
    作者简介:

    袁宏杰(1970-),男,河北阜城人,高级工程师,yuanhongjie@buaa.edu.cn.

  • 中图分类号: TP202+.1

Quantitative analysis method for mechanism severity of whole product

  • 摘要: 针对整机产品失效机理多而复杂、失效数据少、主失效机理分析为定性方法的现状,提出了一种基于Bayes的失效机理危害度定量分析方法.首先利用Dirichlet分布描述产品的先验信息,结合现场失效数据确定失效频率的Bayes后验分布函数,然后通过Slice抽样方法获得失效频率的满条件分布,进而利用Gibbs抽样得到其Bayes估计,从而实现了各失效机理的定量分析.最后在某型光纤连接器失效机理已分析清楚的前提下,分别用FMMEA(Failure Modes,Mechanisms and Effects Analysis)及Bayes方法确定了其主失效机理,结果表明基于Bayes的失效机理危害度定量分析方法考虑了现场未出现的失效机理危害度,其确定的主失效机理比FMMEA结果更具有可信度.

     

  • [1] Tseng Sheng Tsaing,Huang Deng Yuan,Wu Tong You.A sampling plan for selecting the most reliable product under the arrhenius accelerated life test model[J].Statistica Sinica,1994(4):233-237 [2] Gao Dayuan,He Bi,He Songwei,et al.Discussion on limitations of the arrhenius methodology[J].Chinese Journal of Energetic Materials,2006,14 (2):132-135 [3] Zhang Tong,Chen Mei.Research on the reliability of the engine crank rod system based on fta-fmmea comprehensive analysis[J].Journal of Engineering Graphics,2010,31 (5):146-150 [4] Mathew S.Failure mechanisms based prognostics[C]//International Conference on Prognostics and Health Management.Denver,CO:[s.n.],2008:1-6 [5] Wang W,Das D,Osterman M,et al.Reliability integrated engineering using physics of failure[M].Encyclopedia of Quantitative Risk Analysis and Assessment,2008 [6] Daniele Fallin,Nicholas J.Achork.Accuracy of haplotype frequency estimation for biallelic loci,via the expectation-maximization algorithm for unphased diploid genotype data[J].Am J Hum Genet,2000,67 (4):947-959 [7] Huang Likun,Ye Ying,Wang Jintao,et al.The method of dynamic revised bayesian for the variance of shot firing dispersion[J].Journal of Huazhong University of Science and Technology,2004,32(8):95-97 [8] Wang Jianhua,Yuan Li.Properties of hierarchical bayesian and e bayesian estimations of the failure probability in zero-failure data[J].Chinese Journal of Engineering Mathematics,2010,27(1):78-84 [9] Li Pengbo,Xie Hongwei,Zhang Jinhuai.Bayesian estimation while considering the credibility of the prior information[J].Journal of National University of Defense Technology,2003, 25(4):107-110 [10] Bowles John B.An assessment of rpn prioritization in a failure modes effects and criticality analysis[J].Journal of the IEST,2004,47(1):51-56 [11] Van Dorp J Rene,Mazzuchi Thomas A.A general bayes weibull inference model for accelerated life testing[J].Reliability Engineering & System Safety,2005,90(2):140-147 [12] Tibbits Matthew M,Haran Murali,Liechty John C.Parallel multivariate slice sampling[J].Statistics and Computing,2011, 21(3):415-430 [13] Chen Hongshu,Bakshi Bhavik R,Goel Prem K.Bayesian latent variable regression via gibbs sampling:methodology and practical aspects[J].Journal of Chemometrics,2007,21(12):578-591 [14] Scafetta Nicola,Picozzi Sergio,West Bruce J.Pareto-s law:a model of human sharing and creativity[EB/OL].2008. http://wenku.baidu.com/view145f4c8313968011ca30091cc.html [15] Hegyi G,Neda Z,Santos M A.Wealth distribution and pareto-s law in the hungarian medieval society[J].Statistical Mechanics and Its Applications,2007,380 (1):271-277
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出版历程
  • 收稿日期:  2012-10-18
  • 网络出版日期:  2013-09-30

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