Bearing Damage Detection via Wavelet Packet Decomposition of the Stator Current

  • Eren L
  • Devaney M
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Bearing faults are one of the major causes of motor failures. The bearing defects induce vibration, resulting in the modulation of the stator current. In this paper, the stator current is analyzed via wavelet packet decomposition to detect bearing defects. The proposed method enables the analysis of frequency bands that can accommodate the rotational speed dependence of the bearing defect frequencies. The wavelet packet decomposition also provides a better treatment of nonstationary stator current than currently used Fourier techniques.

Author-supplied keywords

  • Bearing fault detection
  • Condition monitoring
  • Induction motors
  • Motor current signature analysis (MCSA)

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  • Levent Eren

  • Michael J. Devaney

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