Continuous Wavelet Transform for Bearing Damage Detection in Electric Motors

The purpose of this paper is to extract features from vibration signals measured from induction motors subjected to accelerated bearing fluting aging. The signals taken from accelerometers placed near to process end bearing were first combined using simple sensor fusion method and then spectral anal...

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Bibliographic Details
Published in:MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference pp. 1130 - 1133
Main Authors: Ayaz, E., Ozturk, A., Seker, S.
Format: Conference Proceeding
Language:English
Published: IEEE 2006
Subjects:
Accelerated aging
Continuous wavelet transforms
Electric motors
Feature extraction
Fourier transforms
Induction motors
Signal analysis
Signal processing
Vibration measurement
Wavelet transforms
ISBN:9781424400874, 1424400872
ISSN:2158-8473
Online Access:Get full text
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Summary:The purpose of this paper is to extract features from vibration signals measured from induction motors subjected to accelerated bearing fluting aging. The signals taken from accelerometers placed near to process end bearing were first combined using simple sensor fusion method and then spectral analysis and time-scale analysis were performed. Fused vibration signals were decomposed into several scales using continuous wavelet transform analysis and selected scales was further investigated to get detailed information relating to bearing damage features. And also the advantage of the continuous wavelet transform over short time Fourier transform was emphasized in terms of getting the bearing damage between 2-4 kHz
ISBN:9781424400874
1424400872
ISSN:2158-8473
DOI:10.1109/MELCON.2006.1653299