• DocumentCode
    3233795
  • Title

    Simulation of a doubly-fed induction machine for wind turbine generator fault analysis

  • Author

    Yazidi, A. ; Henao, H. ; Capolino, G.A. ; Casadei, D. ; Filippetti, F. ; Rossi, C.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Picardie, Amiens
  • fYear
    2005
  • fDate
    7-9 Sept. 2005
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    For modern large wind farms, it is more and more interesting to design an efficient diagnostics system oriented to wind turbine generators based on doubly-fed induction machine (DFIM). In this paper, a complete system will be analyzed by suitable simulations to deeply study fault influence and to identify the best diagnostic procedure to perform predictive maintenance. All the research efforts have been developed on different signature analysis (XSA) in order to detect or to predict electrical and mechanical faults in wound-rotor induction machines. They will be applied on wind turbine generators and their effectiveness will be studied.
  • Keywords
    asynchronous machines; fault diagnosis; preventive maintenance; signal processing; wind power plants; wind turbines; different signature analysis; doubly-fed induction machine; fault analysis; fault influence; mechanical faults; predictive maintenance; wind farms; wind turbine generator; wound-rotor induction machines; Analytical models; Electrical fault detection; Fault diagnosis; Induction generators; Induction machines; Performance analysis; Predictive maintenance; Predictive models; Wind farms; Wind turbines; Current signature analysis; Doubly-fed induction machine; Fault detection; Wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Diagnostics for Electric Machines, Power Electronics and Drives, 2005. SDEMPED 2005. 5th IEEE International Symposium on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-0-7803-9124-6
  • Electronic_ISBN
    978-0-7803-9125-3
  • Type

    conf

  • DOI
    10.1109/DEMPED.2005.4662544
  • Filename
    4662544