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

利用非等距灰色理论方法判定失效机理一致性

李晓钢 王亚辉

李晓钢, 王亚辉. 利用非等距灰色理论方法判定失效机理一致性[J]. 北京航空航天大学学报, 2014, 40(7): 899-904. doi: 10.13700/j.bh.1001-5965.2013.0483
引用本文: 李晓钢, 王亚辉. 利用非等距灰色理论方法判定失效机理一致性[J]. 北京航空航天大学学报, 2014, 40(7): 899-904. doi: 10.13700/j.bh.1001-5965.2013.0483
Li Xiaogang, Wang Yahui. Identification method of failure mechanism consistency by non-equidistance grey theory model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(7): 899-904. doi: 10.13700/j.bh.1001-5965.2013.0483(in Chinese)
Citation: Li Xiaogang, Wang Yahui. Identification method of failure mechanism consistency by non-equidistance grey theory model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2014, 40(7): 899-904. doi: 10.13700/j.bh.1001-5965.2013.0483(in Chinese)

利用非等距灰色理论方法判定失效机理一致性

doi: 10.13700/j.bh.1001-5965.2013.0483
详细信息
    作者简介:

    李晓钢(1966-),男,湖南醴陵人,副教授,lxg@buaa.edu.cn.

  • 中图分类号: TB114.3

Identification method of failure mechanism consistency by non-equidistance grey theory model

  • 摘要: 针对加速失效机理一致性判定中存在以下问题,基于数据处理和试验观察的方法需要加速试验数据和基于灰色理论的方法需要预试验数据等间距且预测精度不高,提出了一种基于非等距型灰色理论模型的失效机理一致性判定方法.该方法利用非等距的预试验数据,将非等距GM(1,1)模型和等维新息模型相结合,得出模型的残差,找出预试验数据的趋势改变点.通过对比试验,得出此方法的拟合精度和预测精度较高,进一步拓广了GM(1,1)模型在失效机理一致性判定上的应用范围.通过在光电编码器和加速度计中的应用案例,验证了该方法的有效性.

     

  • [1] Nelson W. Accelerated life testing-step-stress models and data analyses[J].IEEE Transactions on Reliability, 1980, 29(2):103-108
    [2] 郭春生, 谢雪松, 马卫东.加速试验中失效机理一致性的判别方法[J].半导体学报, 2006, 27(3):560-563 Guo Chunsheng, Xie Xuesong, Ma Weidong.A failure-mechanism identification method in accelerated testing[J].Chinese Journal of Semiconductors, 2006, 27(3):560-563(in Chinese)
    [3] Hu J M, Barker D B, Dasgupta A, et al.Role of failure-mechanism identification in accelerated testing[C]//Proceedings of the Annual Reliability and Maintainability Symposium.Piscataway, NJ:IEEE, 1992:181-188
    [4] Chen M L, Tseng S T.Optimal design for step-stress accelerated degradation tests[J].IEEE Transactions on Reliability, 2006, 55(1): 59-66
    [5] Pan X X, Huang X K, Chen Y X, et al.Connotation of failure mechanism consistency and identification method for accelerated testing[C]//Prognostics and System Health Management Conference.Piscataway, NJ:IEEE, 2011:1-7
    [6] 王前程, 陈云霞, 邓沣鹂, 等.加速计加速退化机理一致性边界确定方法[J].北京航空航天大学学报, 2012, 38(11):1512-1516 Wang Qiancheng, Chen Yunxia, Deng Fengli, et al.Approach of determining accelerated degradation mechanism consistency's boundary for accelerometers[J].Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(11):1512-1516(in Chinese)
    [7] Nelson W. Analysis of accelerated life test data-part I:the arrhenius model and graphical methods[J].Transactions on Electrical Insulation, 1971, 6(4):165-181
    [8] 冯静. 基于秩相关系数的加速贮存退化失效机理一致性检验[J].航空动力学报, 2011, 26(11):2439-2444 Feng Jing.Consistent test of accelerated storage degradation failure mechanism based on rank correlation coefficient[J].Journal of Aerospace Power, 2011, 26(11):2439-2444(in Chinese)
    [9] Kim J, Yoon D, Jeon M, et al.Degradation behaviors and failure analysis of Ni-BaTiO3 base-metal electrode multilayer ceramic capacitors under highly accelerated life test[J].Current Applied Physics, 2010, 10(5):1297-1301
    [10] 姚军, 王欢, 苏泉.基于灰色理论的失效机理一致性检验方法[J].北京航空航天大学学报, 2013, 39(6):734-738 Yao Jun, Wang Huan, Su Quan.Consistency identification method of failure mechanism based on grey theory[J].Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(11): 734-738(in Chinese)
    [11] 潘晓茜, 康锐. 基于灰色预测的加速试验机理一致性判定方法[J].北京航空航天大学学报, 2013, 39(6):787-791 Pan Xiaoxi, Kang Rui.Identification method of failure mechanism consistency for accelerated testing based on grey forecasting[J].Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(6):787-791(in Chinese)
    [12] 杨林泉. 预测与决策方法应用[M].北京:冶金工业出版社, 2011 Yang Linquan.The method application of forecasting and decision-making[M].Beijing:Metallurgical Industry Press, 2011(in Chinese)
    [13] 戴文战, 李俊峰. 非等间距GM(1, 1)模型建模研究[J].系统工程理论与实践, 2005, 9(2):89-93 Dai Wenzhan, Li Junfeng.Modeling research on non-equidistance GM(1, 1) model[J].System Engineering-Theory & Practice, 2005, 9(2):89-93(in Chinese)
    [14] 赵玲, 许宏科.基于等维新息灰色马尔科夫模型的互联网用户人数预测研究[J].计算机科学, 2013, 40(4):119-121 Zhao Ling, Xu Hongke.Research on internet users number prediction based on equal dimension and new information grey Markov model[J].Computer Science, 2013, 40(4):119-121(in Chinese)
  • 加载中
计量
  • 文章访问数:  1244
  • HTML全文浏览量:  173
  • PDF下载量:  482
  • 被引次数: 0
出版历程
  • 收稿日期:  2013-09-17
  • 网络出版日期:  2014-07-20

目录

    /

    返回文章
    返回
    常见问答