• DocumentCode
    1769256
  • Title

    Non-intrusive polynomial chaos based mechanism reliability sensitivity analysis

  • Author

    Shaohua Du ; Jianbin Guo ; Zitan Zhao ; Shengkui Zeng

  • Author_Institution
    Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    515
  • Lastpage
    519
  • Abstract
    Reliability Sensitivity Analysis aims at quantifying the influence of the change of the uncertain model inputs on the model reliability. The reliability sensitivity measures which are calculated through reliability sensitivity analysis will help a lot because they are used to identify the importance of the statistical characteristics of the uncertain parameters e.g. means, standard deviations, etc. In this paper, a new method is proposed for reliability sensitivity analysis of the mechanism. An airborne retractable mechanism is used to test our new method. Good agreement is observed between the results from the proposed method and the results calculated based on a large number of Monte Carlo simulations, which proves that the proposed method is applicable and efficient for the engineering cases.
  • Keywords
    Monte Carlo methods; mechanical engineering; polynomials; reliability theory; sensitivity analysis; Monte Carlo simulations; airborne retractable mechanism; engineering cases; model reliability; nonintrusive polynomial chaos; reliability sensitivity analysis; reliability sensitivity measures; statistical characteristics; Computational modeling; Polynomials; Reliability engineering; Sensitivity analysis; Standards; polynomial chaos expansion; reliability; sensitivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
  • Conference_Location
    Zhangiiaijie
  • Print_ISBN
    978-1-4799-7957-8
  • Type

    conf

  • DOI
    10.1109/PHM.2014.6988226
  • Filename
    6988226