• DocumentCode
    1726427
  • Title

    Fault detection in induction motors with independent component analysis (ICA)

  • Author

    Guney, Irfan ; Kilic, Erdal ; Ozgonenel, Okan ; Ulutas, Mustafa ; Karadeniz, Erol

  • Author_Institution
    Altunizade Mahallesi Fahrettin Kerim, Acibadem Univ., Istanbul, Turkey
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this study, the aim is to detect an induction motor´s winding faults by using independent component analysis (ICA). Many laboratory experiments have been done on an induction motor to check the performance of the proposed method. The phase currents of the induction motor are used in the fault detection algorithm. The algorithm is implemente d by using MATLAB. The proposed method is compared to FFT solution to see its ability to distinguish fault currents. It has been observed that the proposed method based on ICA can efficiently be used to detect induction motors winding faults.
  • Keywords
    fast Fourier transforms; fault location; independent component analysis; induction motors; mathematics computing; windings; FFT; ICA; MATLAB; fault currents; fault detection; independent component analysis; induction motors; phase currents; winding faults; Fault detection; Independent component analysis; Induction motors; Laboratories; MATLAB; Principal component analysis; Production; Random variables; Rotors; Stator windings; FFT; ICA; Internal Fault; stator faults;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2009 IEEE Bucharest
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4244-2234-0
  • Electronic_ISBN
    978-1-4244-2235-7
  • Type

    conf

  • DOI
    10.1109/PTC.2009.5282251
  • Filename
    5282251