• DocumentCode
    2826698
  • Title

    Induction motor broken bar detection using vibration signal analysis, principal component analysis and linear discriminant analysis

  • Author

    Jakovljevic, Boris B. ; Kanovic, Z.S. ; Jelicic, Zoran D.

  • Author_Institution
    Fac. of Tech. Sci., Univ. of Novi Sad, Novi Sad, Serbia
  • fYear
    2012
  • fDate
    3-5 Oct. 2012
  • Firstpage
    1686
  • Lastpage
    1690
  • Abstract
    This paper presents procedure for broken rotor bar detection in induction motor based on vibration analysis. Feature set is dimensionally reduced using principal component analysis, and data classification is performed using linear discriminant analysis, technique which is not often used for classification in fault detection.
  • Keywords
    induction motors; mechanical engineering computing; principal component analysis; signal classification; signal detection; vibrations; broken rotor bar detection; data classification; fault detection; feature set; induction motor broken bar detection; linear discriminant analysis; principal component analysis; vibration signal analysis; Bars; Fault detection; Feature extraction; Induction motors; Principal component analysis; Rotors; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2012 IEEE International Conference on
  • Conference_Location
    Dubrovnik
  • ISSN
    1085-1992
  • Print_ISBN
    978-1-4673-4503-3
  • Electronic_ISBN
    1085-1992
  • Type

    conf

  • DOI
    10.1109/CCA.2012.6402377
  • Filename
    6402377