Bearing damage detection via wavelet packet decomposition of the stator current

Author

Eren, Levent ; Devaney, Michael J.

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of Bahcesehir, Istanbul, Turkey

Volume

53

Issue

2

fYear

2004

fDate

4/1/2004 12:00:00 AM

Firstpage

431

Lastpage

436

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 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.

Keywords

cepstral analysis; computerised monitoring; fault location; induction motor drives; machine bearings; machine testing; stators; wavelet transforms; MCSA; bearing damage detection; bearing defect detection; bearing defect frequencies; bearing defects; bearing fault detection; bearing faults; condition monitoring; frequency band analysis; induction motors; motor current signature analysis; motor failures; nonstationary stator current; rotational speed dependence; stator current modulation; vibration; wavelet packet decomposition; Discrete wavelet transforms; Fault detection; Frequency; Geometry; Induction motors; Signal analysis; Stators; Steady-state; Wavelet analysis; Wavelet packets;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/TIM.2004.823323

Filename

1284875