• DocumentCode
    2700470
  • Title

    Nonlinear fault diagnosis based on Volterra series & its application in rotor systems

  • Author

    Tang, Hao ; Qu, Liangsheng ; Wen, Guangrui

  • Author_Institution
    State Key Lab. for Manuf. Syst., Univ. of Xi´´an Jiaotong, Xian
  • fYear
    2008
  • fDate
    20-23 June 2008
  • Firstpage
    916
  • Lastpage
    920
  • Abstract
    The Volterra series theory is a general description of nonlinear systems. As its full consideration of nonlinear factors, Volterra series can show the essential characteristics of nonlinear systems. The basic theory of Volterra series is briefly introduced in this paper first. Then, generalized impulse response function (GIRF) is identified by using genetic algorithm (GA). Satisfactory identification result is achieved. Finally, this method is employed in the area of fault diagnosis for rotor-bearing systems. We investigate the changes of GIRF of rotor signals under different conditions during run-up stages. The effectiveness of the method is verified by experimental. This research of the paper provides a new way of fault diagnosis for mechanical systems.
  • Keywords
    Volterra series; fault diagnosis; genetic algorithms; machine bearings; rotors; transient response; Volterra series; generalized impulse response function; genetic algorithm; mechanical systems; nonlinear fault diagnosis; rotor- bearing systems; Biological system modeling; Cybernetics; Fault diagnosis; Laboratories; Manufacturing systems; Mechanical systems; Nonlinear dynamical systems; Nonlinear systems; Power system modeling; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2008. ICIA 2008. International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-2183-1
  • Electronic_ISBN
    978-1-4244-2184-8
  • Type

    conf

  • DOI
    10.1109/ICINFA.2008.4608130
  • Filename
    4608130