Application of time-frequency representations to classification of vibration signals of electric motors

D. Grabowski

doi:10.1117/12.579561

22 June 2004 Application of time-frequency representations to classification of vibration signals of electric motors

D. Grabowski

Proceedings Volume 5503, Sixth International Conference on Vibration Measurements by Laser Techniques: Advances and Applications; (2004) https://doi.org/10.1117/12.579561
Event: Sixth International Conference on Vibration Measurements by Laser Techniques: Advances and Applications, 2004, Ancona, Italy

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.

Citation Download Citation

D. Grabowski "Application of time-frequency representations to classification of vibration signals of electric motors", Proc. SPIE 5503, Sixth International Conference on Vibration Measurements by Laser Techniques: Advances and Applications, (22 June 2004); https://doi.org/10.1117/12.579561

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