• DocumentCode
    1901524
  • Title

    Optimal wavelets for broken rotor bars fault diagnosis

  • Author

    Pu Shi ; Zheng Chen ; Vagapov, Yuriy ; Zouaoui, Zoubir

  • Author_Institution
    Eng. Dept., Glyndwr Univ., Wrexham, UK
  • fYear
    2013
  • fDate
    27-30 Aug. 2013
  • Firstpage
    49
  • Lastpage
    56
  • Abstract
    This paper discusses the use of an optimal wavelets approach for broken rotor bars diagnosis. In this paper, discrete wavelet coefficients (DWT) of stator current in a specific frequency band are derived and analyzed. Wavelets db8, db9, db10, sym7 and sym8 are compared to select a most optimal one. This approach facilitates the detection and diagnosis of broken rotor bar occurrence or even number of broken bars under load variation. Simulation and experimental tests on inductions motors with 1, 2, and 3 broken bars are conducted, which demonstrate the effective fault detection of the proposed approach.
  • Keywords
    discrete wavelet transforms; fault diagnosis; frequency-domain analysis; induction motors; DWT; broken rotor bar detection; broken rotor bars fault diagnosis; discrete wavelet coefficients; inductions motors; load variation; optimal wavelets approach; stator current; Bars; Discrete wavelet transforms; Harmonic analysis; Induction motors; Rotors; Stators; Wavelet analysis; Broken Rotor Bars; Induction Machine; Wavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013 9th IEEE International Symposium on
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/DEMPED.2013.6645696
  • Filename
    6645696