• DocumentCode
    65752
  • Title

    The Use of a Modified Prony Method to Track the Broken Rotor Bar Characteristic Frequencies and Amplitudes in Three-Phase Induction Motors

  • Author

    Sahraoui, Mohamed ; Marques Cardoso, Antonio J. ; Ghoggal, Adel

  • Author_Institution
    Electr. Eng. Dept., Univ. of Biskra, Biskra, Algeria
  • Volume
    51
  • Issue
    3
  • fYear
    2015
  • fDate
    May-June 2015
  • Firstpage
    2136
  • Lastpage
    2147
  • Abstract
    The knowledge of the broken rotor bar characteristic frequencies and amplitudes has a great importance for all related diagnostic methods. The monitoring of motor faults requires a high resolution spectrum to separate different frequency components. The discrete Fourier transform (DFT) has been widely used to achieve these requirements. However, DFT can give meaningful information only for stationary harmonics which cannot be guaranteed in real cases. In addition, a long data sequence is necessary for DFT to get high frequency resolution. Nevertheless, the signals are time varying, and the steady-state conditions can be lost for a long time acquisition. As a solution for these problems, this paper proposes an efficient time-domain technique based on a modified Prony method for the estimation of the frequencies/amplitudes of broken rotor bar faults. Using this technique, the stator current is divided into short overlapped time windows, and each one is analyzed by the least squares Prony method. The proposed technique provides a linear time-frequency/amplitude representation with high frequency resolution and adjustable time resolution. It is shown that this technique allows tracking the frequencies and amplitudes of the sidebands around the fundamental frequency component with a very high accuracy. The efficiency of the proposed method is verified by simulation and experimental tests.
  • Keywords
    amplitude estimation; discrete Fourier transforms; fault diagnosis; frequency estimation; harmonic analysis; induction motors; rotors; stators; time-domain analysis; DFT; amplitude estimation; broken rotor bar characteristic frequency tracking; data sequence; diagnostic method; discrete Fourier transform; frequency estimation; high resolution spectrum; modified Prony method; motor fault; stationary harmonics; stator current; steady-state condition; three-phase induction motor; time varying signal; time-domain technique; Discrete Fourier transforms; Estimation; Frequency estimation; Harmonic analysis; Power harmonic filters; Rotors; Time-frequency analysis; Filtering; Filtering; MCSA; Frequency resolution Nomenclature; Prony’s method; Prony´s method; frequency resolution nomenclature; motor current signature analysis (MCSA);
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2014.2375384
  • Filename
    6971115