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Proceedings Paper

Application of time-frequency representations to classification of vibration signals of electric motors
Author(s): D. Grabowski
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Paper Abstract

Examination of advantages and disadvantages of some not commonly used time-frequency representations of vibration signals has been the aim of the paper. The study has been mainly devoted to Wigner-Ville decomposition as well as instantaneous amplitude and frequency. These representations have been examined from the pattern recognition point of view. The Wigner-Ville decomposition was compared with short time Fourier transform taking into account its classification power. In the case of instantaneous amplitude and frequency representation a new method of feature extraction followed by classification using optimal neural classifier has been proposed. Results have been illustrated using a data set of signals measured by a laser vibrometer. They proved that the method proposed in the paper could be used for very fast classification based on vibration signals measured in transient state.

Paper Details

Date Published: 22 June 2004
PDF: 10 pages
Proc. SPIE 5503, Sixth International Conference on Vibration Measurements by Laser Techniques: Advances and Applications, (22 June 2004); doi: 10.1117/12.579561
Show Author Affiliations
D. Grabowski, Silesian Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 5503:
Sixth International Conference on Vibration Measurements by Laser Techniques: Advances and Applications
Enrico Primo Tomasini, Editor(s)

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