• DocumentCode
    3727554
  • Title

    Intelligent fault diagnosis of induction motor with stator winding fault

  • Author

    Ming Yu; Yigang He; Hai Wang; Juan Xu;Danwei Wang; VietHung Nguyen

  • Author_Institution
    School of Electrical Engineering and Automation, Hefei University of Technology, China
  • fYear
    2015
  • Firstpage
    730
  • Lastpage
    735
  • Abstract
    In this article, a fault diagnosis method is proposed for induction motor which suffers from stator winding shorted turn fault. During fault detection, rms values of the three phase currents are calculated and two currents are subtracted from each other to form the residuals. After the fault is detected through evaluating the developed residuals, a harmony search algorithm is adopted to estimate the fault size, i.e., the fraction of shorted turn and the fault insulation resistance. Simulation experiments are conducted and results validate the developed method.
  • Keywords
    "Stator windings","Circuit faults","Rotors","Induction motors","Windings","Couplings","Fault diagnosis"
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2015 11th International Conference on
  • Electronic_ISBN
    2157-9563
  • Type

    conf

  • DOI
    10.1109/ICNC.2015.7378081
  • Filename
    7378081