Advanced Search
Volume 39 Issue 6
Jun.  2013
Turn off MathJax
Article Contents
Journal of Beijing University of Aeronautics and Astronautics  > 2013  >  (6): 734-738,744.
Yao Jun, Wang Huan, Su Quanet al. Consistency identification method of failure mechanism based on grey theory[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, (6): 734-738,744. (in Chinese)
Citation: Yao Jun, Wang Huan, Su Quanet al. Consistency identification method of failure mechanism based on grey theory[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, (6): 734-738,744. (in Chinese)
shu

Consistency identification method of failure mechanism based on grey theory

  • School of Reliability and Systems Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

  • Received Date: 13 Jun 2012
  • Publish Date: 30 Jun 2013
    Abstract
  • A study was made on the consistency identification method of failure mechanism. Three common methods based on the acceleration model parameters unchanged, based on the statistical methods and based on the experimental observation were studied. It was found that the three methods need the accelerated test data for the consistency identification method of failure mechanism, but this could not provide theoretical guidance for the accelerated test. A consistency identification method of failure mechanism based on grey theory was put forward, which can be used for failure mechanism consistency identification by the pre-test data. Combined with the pre-test data of a certain type of photoelectric encoder, the conclusion was drawn that 175℃° was the change point of the failure mechanism using this method. It made a contrast with the method based on statistical. Finally, the failure mechanism analysis for the products was used to verify the correctness of the method.

     

    • FullText(HTML)
  • loading
    • References(14)
  • [1]
    茆诗松,王玲玲.可靠性统计[M].上海:华东师范大学出版社,1984
    Mao Shisong,Wang Lingling.Reliability statistics[M].Shang hai:East China Normal University Press,1984(in Chinese)
    [2]
    Pan Xiaoxi,Huang Xiaokai,Chen Yunxia,et al.Connotation of failure mechanism consistency and identification method for accelerated testing[C]// Prognostics and System Health Management Conference.[S.l.]:IEEE,2011:1-7
    [3]
    郭春生,谢雪松,马卫东,等.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,et al.Failure-mechanism identification method in accelerated testing[J].Journal of Semiconductors,2006,27(3):560-563(in Chinese)
    [4]
    包亦望,苏盛彪,王毅敏,等.钛化物陶瓷的高温蠕变行为与失效机理[J].硅酸盐学报,2002,30(3):300-304
    Bao Yiwang,Su Shengbiao,Wang Yimin,et al.High-temperature creep and failure mechanism of ceramics containing titaniferous compound[J].Journal of the Chinese Ceramic Society,2002,30(3):300-304 (in Chinese)
    [5]
    周源泉,翁朝曦,叶喜涛.论加速系数与失效机理的不变的条件(I)-寿命型随机变的情况[J].系统工程与电子技术,1996(1):55-67
    Zhou Yuanquan,Weng Chaoxi,Ye Xitao.Study on accelerated factor and conditionfor constant failure mechanism(Ⅰ)—the case for lifetime is a random variable[J].Journal of Systems Engineering and Electronics,1996(1):55-67(in Chinese)
    [6]
    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
    [7]
    盐见弘.失效物理基础[M].杨家铿译.北京:科学出版社,1982
    Shiomi Hiroshi.Basis of failure physics[M].Translated by Yang Jiakeng.Beijing:Science Press,1982(in Chinese)
    [8]
    Hu J M,Barker D,Dasgupta A,et al.Role of failure-mechanism identification in accelerated testing[C]//Proceedings Annual Reliability and Maintainability Symposium.Las Vegas.NV:IEEE,1992:181-188
    [9]
    Atwa Y M,El-Saadany E F.Annual wind speed estimation utilizing constrained grey predictor[J].Transaction on Energy Conversion IEEE,2009,24(2):548-550
    [10]
    邓聚龙.灰色系统基本方法[M].武汉:华中科技大学出版社,2005
    Deng Julong.Basic methods of gray system[M].Wuhan:Huazhong University of Science and Technology Press,2005(in Chinese)
    [11]
    Chang B R,Tsai H F.Forecast approach using neural network adaptation to support vector regression grey model and generalized auto-regressive conditional heteroscedasticity[J].Expert Systems with Applications,2008,34(2):925-934
    [12]
    Huang K Y,Jane C J.A hybrid model for stock market forecasting and portfolio selection based on ARX grey system and RS theories[J].Expert Systems with Applications,2009,36(3):5387-5392
    [13]
    Truong D Q,Ahn K K.Force control for hydraulic load simulator using self-tuning grey predictor-fuzzy PID[J].Mechatronics,2009,19(2):233-246
    [14]
    Kayacan E,Ulutas B,Kaynak O.Grey system theory-based models in time series prediction[J].Expert Systems with Applications,2010,37(2):1784-1789
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views(1593) PDF downloads(848) Cited by()
    Proportional views
    Related

    Copyright © Journal of Beijing University of Aeronautics and Astronautics

    Address: Editorial Department of Journal of Beijing University of Aeronautics and Astronautics, 37 Xueyuan Road, Haidian District, Beijing Post Code: 100191 Email: jbuaa@buaa.edu.cn

    Supported by: Beijing Renhe Information Technology Co., Ltd.    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return