• DocumentCode
    548137
  • Title

    Model based fault detection of nonlinear systems using singleton interval type-2 fuzzy sets

  • Author

    Ghiasi, T.S. ; Pour, H.Zarabadi ; Shoorehdeli, M.Aliyari

  • Author_Institution
    University of Ghazvin, Iran
  • fYear
    2011
  • fDate
    17-19 May 2011
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Summary from only given. Fault detection using a novel approach based singleton interval type 2 fuzzy sets is presented in this paper. The main idea of introduced method is based on the concept of type-2 fuzzy sets. Residual signal could be constructed by using this concept and evaluation of it can be done as well. The benefits of the proposed method have been presented by a well-known benchmark problem. Simulation results depict that the proposed fault detection is highly effective tool in fast Fault Detection of nonlinear systems.
  • Keywords
    Fault Detection; Interval Type-2 Fuzzy; Singleton Type-2 fuzzy; Type-2 Fuzzy Logic system; Type-2FNN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2011 19th Iranian Conference on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4577-0730-8
  • Type

    conf

  • Filename
    5956028