• DocumentCode
    2876642
  • Title

    Induction motor mechanical fault identification using Park´s vector approach

  • Author

    Ben Salem, S. ; Touti, Walid ; Bacha, Khaireddine ; Chaari, Abdelkader

  • Author_Institution
    Unit of Res.: Control, Monitoring & Reliability of the Syst., Higher Sch. of Sci. & Technol. of Tunis, Bab Menara, Tunisia
  • fYear
    2013
  • fDate
    21-23 March 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this work we have shown that the extended Park´s vector spectrum is rich in harmonics characteristics of mechanical defects (air-gap eccentricity and outer raceway bearing fault). About the use of Park´s Lissajou´s curves to identify mechanical defects, we have demonstrated that this type of index can only detect the occurrence of a fault, but it cannot identify.
  • Keywords
    air gaps; induction motors; machine bearings; maintenance engineering; Park Lissajou curves; Park vector spectrum approach; air-gap eccentricity; harmonics characteristics; induction motor mechanical fault identification; mechanical defects; outer raceway bearing fault; Air gaps; Fault diagnosis; Harmonic analysis; Induction motors; Rotors; Stators; Vectors; Park vector; bearing fault; eccentricity fault; fault diagnosis; induction motor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering and Software Applications (ICEESA), 2013 International Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4673-6302-0
  • Type

    conf

  • DOI
    10.1109/ICEESA.2013.6578381
  • Filename
    6578381