• DocumentCode
    1061311
  • Title

    Identification of Intermittent Electrical and Mechanical Faults in Permanent-Magnet AC Drives Based on Time–Frequency Analysis

  • Author

    Zanardelli, Wesley G. ; Strangas, Elias G. ; Aviyente, Selin

  • Author_Institution
    Delphi Steering, Saginaw
  • Volume
    43
  • Issue
    4
  • fYear
    2007
  • Firstpage
    971
  • Lastpage
    980
  • Abstract
    The detection of noncatastrophic faults in conjunction with other factors can be used to determine the remaining life of an electric drive. As the frequency and severity of these faults increase, the working life of the drive decreases, leading to eventual failure. In this paper, methods are presented to identify developing electrical and mechanical faults based on both the short-time Fourier transform and wavelet analysis of the field-oriented currents in permanent-magnet ac drives. The different fault types are classified by developing a linear discriminant classifier based on the transform coefficients.
  • Keywords
    AC motor drives; Fourier transforms; failure analysis; fault location; life testing; machine testing; permanent magnet motors; reliability; remaining life assessment; time-frequency analysis; wavelet transforms; drive failure; electric drive remaining life; field-oriented currents; intermittent electrical faults; intermittent mechanical faults; linear discriminant classifier; noncatastrophic fault detection; permanent-magnet AC drive drives; short-time Fourier transform; time-frequency analysis; transform coefficients; wavelet analysis; Brushes; Circuit faults; Discrete wavelet transforms; Electrical fault detection; Fault diagnosis; Fourier transforms; Signal processing; Testing; Voltage; Wavelet analysis; Intermittent fault detection; permanent-magnet ac (PMAC) drives; short-time Fourier transform (STFT); undecimated discrete wavelet transform (UDWT);
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2007.900446
  • Filename
    4276870