• DocumentCode
    3250432
  • Title

    The life assessment of Complex System based on membership function

  • Author

    Lang, Feng-Yong ; Li, Xiao-Gang

  • Author_Institution
    Sch. of Reliability & Syst. Eng., BeiHang Univ., Beijing, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    972
  • Lastpage
    976
  • Abstract
    Discussing a method of life assessment of Complex System. Firstly, based on the information fusion theory, considering the influence of unit life on the complex system, we transform life assessment into solving a fuzzy set. Secondly, we transform the membership solving into solving a regression equation, and calculate the parameter of two common distributions with the method of least square. Finally, we can solve the life model of the complex system. The result has been proved by MATLAB simulation.
  • Keywords
    fuzzy set theory; least squares approximations; regression analysis; remaining life assessment; MATLAB simulation; complex system; fuzzy set; information fusion theory; least square method; life assessment; membership function; regression equation; unit life; Complex System; Information Fusion; LS; Life Assessment; Membership Functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6483-8
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2010.5646464
  • Filename
    5646464