Bearing damage detection via wavelet packet decomposition of the stator current

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...

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Veröffentlicht in:IEEE transactions on instrumentation and measurement 2004-04, Vol.53 (2), p.431-436
Hauptverfasser: Eren, L., Devaney, M.J.
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description 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.
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subjects Discrete wavelet transforms
Fault detection
Frequency
Geometry
Induction motors
Signal analysis
Stators
Steady-state
Wavelet analysis
Wavelet packets
title Bearing damage detection via wavelet packet decomposition of the stator current
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