• DocumentCode
    1038753
  • Title

    Improving the signal data acquisition in condition monitoring of electrical machines

  • Author

    Costa, F.F. ; de Almeida, L.A.L. ; Naidu, S.R. ; Braga-Filho, E.R.

  • Author_Institution
    Dept. de Engenharia Eletrica, Univ. Fed. de Campina Grande, Brazil
  • Volume
    53
  • Issue
    4
  • fYear
    2004
  • Firstpage
    1015
  • Lastpage
    1019
  • Abstract
    The occurrence of a broken bar in induction machines causes an internal magnetic imbalance, which is reflected in the stator current. This effect may be detected by estimating the spectral signature of the stator current, particularly the sidebands around the fundamental frequency. However, the fundamental 60-Hz amplitude is considerably greater than the sideband amplitude, which usually requires an analog 60-Hz notch filter in the data acquisition system. Analog filters are sensitive to temperature variations, which, in this case, may shift the filter resonance frequency and degrade the desired response. It is proposed in this paper that the analog notch filter may be replaced by a digital/analog cancelling technique based on the recursive discrete-time Fourier transform. The technique is shown to attenuate the fundamental 60-Hz amplitude considerably before A/D conversion, leaving only the sidebands in the current signal.
  • Keywords
    condition monitoring; data acquisition; discrete Fourier transforms; discrete time filters; induction motors; spectral analysis; 60 Hz; A-D conversion; analog filters; condition monitoring; digital-analog cancelling technique; discrete-time Fourier transform; electrical machines; induction machines; internal magnetic imbalance; notch filter; resonance frequency; sideband amplitude; signal data acquisition system; spectral signature estimation; stator current; temperature variations; Condition monitoring; Data acquisition; Filters; Frequency estimation; Induction machines; Magnetic separation; Resonance; Resonant frequency; Stators; Temperature sensors; Condition monitoring; MCSA; induction motor; motor current signature analysis; preventive maintenance;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2004.830740
  • Filename
    1315977