• DocumentCode
    2682108
  • Title

    Real time reliability analysis based on the performance degradation data and Bayesian method

  • Author

    Ma, Jiming ; Zhan, Xiaoyan ; Zeng, Shengkui

  • Author_Institution
    Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2011
  • fDate
    12-15 June 2011
  • Firstpage
    90
  • Lastpage
    94
  • Abstract
    Failure data is difficult to obtain for the product with high reliability. Through analyzing the performance degradation data, analysis result of reliability will be more reasonable than through traditional approach. A real time reliability evaluation method is developed utilizing the field data, which integrates the advantages of reliability evaluation method based on performance degradation data and Bayesian method. Firstly, the degradation model is created based on the history performance degradation data, and the parameters of the model are estimated as the prior information of Bayesian method; then the model is updated and the reliability is evaluated simultaneously; finally, a piston pump is selected as the study case to verify the validity of this method. Through utilizing the history data of the other same type products and field data of the individual product, the proposed method can fully describe the particularity, and the reliability evaluation result will become much more accurate with the accumulating of the field data.
  • Keywords
    Bayes methods; failure analysis; pistons; pumps; reliability; Bayesian method; failure data; performance degradation data; piston pump; real time reliability analysis; reliability evaluation method; type product reliability; Analytical models; Bayesian methods; Data models; Degradation; Real time systems; Reliability theory; Bayesian method; degradation; piston pump; real time; reliability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Maintainability and Safety (ICRMS), 2011 9th International Conference on
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-61284-667-5
  • Type

    conf

  • DOI
    10.1109/ICRMS.2011.5979239
  • Filename
    5979239