• DocumentCode
    1898137
  • Title

    Estimation of Reliability with Hybrid Uncertainties in the Unified Framework of Random Set Theory

  • Author

    Guo, Huixin ; Xia, Zhunfeng ; Chen, Lie ; Pang, Xiaobin

  • Author_Institution
    Dept. of Mech. & Electr. Eng., Changsha Univ., Changsha, China
  • Volume
    2
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    507
  • Lastpage
    512
  • Abstract
    The method of reliability estimation with hybrid uncertainties including random and fuzzy variables is proposed. By means of random set theory, random variables and fuzzy variables are transformed into random set, and then a unified model of reliability is proposed in the unified framework of random set theory. The limit-state function of a structure with hybrid uncertainties is mapped into a random set by using the extension principle of function based on random set, and then the limit cumulative distribution functions (CDFs) of reliability are determined. According to the upper and the lower CDF, the interval estimation of reliability can be obtained. The traditional reliability theory based on probability can be viewed as one of the sub-cases of the method proposed. The proposed method is demonstrated with an example.
  • Keywords
    fuzzy set theory; reliability theory; statistical distributions; fuzzy variables; hybrid uncertainties; limit cumulative distribution functions; limit-state function; random set theory; random variables; reliability estimation; reliability theory; Automation; Design engineering; Extraterrestrial measurements; Fuzzy set theory; Probability distribution; Random variables; Reliability engineering; Reliability theory; Set theory; Uncertainty; fuzzy variable; interval estimation; random variable; reliability; uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.357
  • Filename
    5287727