Title :
Bearing damage detection via wavelet packet
Author :
Eren, Levent ; Devaney, Michael J.
Author_Institution :
Dept. of Electr. Eng., Missouri Univ., Columbia, MO, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
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 beating defects. The proposed method enables the analysis of frequency bands that can accommodate the rotational speed dependence of the beating-defect frequencies. The wavelet packet decomposition also provides a better treatment of nonstationary stator current than currently used Fourier techniques.
Keywords :
condition monitoring; fault diagnosis; induction motors; machine bearings; machine testing; signal sampling; vibration measurement; wavelet transforms; ball bearing; bearing damage detection; beating-defect frequencies; cage defects; condition monitoring; frequency bands; induction motors; motor current signature analysis; motor failures; notch filtered; outer race defects; rotational speed dependence; sampled current signal; stator current; vibration; wavelet packet decomposition; Discrete wavelet transforms; Equations; Fault detection; Frequency; Induction motors; Rotors; Stators; Vibrations; Wavelet analysis; Wavelet packets;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE
Print_ISBN :
0-7803-7218-2
DOI :
10.1109/IMTC.2002.1006824
