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Identification of Damaged Teeth in Gears using Wavelet Transform Applied to the Angular Vibration Signal

P.A. Meroño1, F.C. Gómez2, F. Marín1
Universidad Politécnica de Cartagena (UPCT), Cartagena, Spain.
Universidad de Murcia, Murcia, Spain.

Computers, Materials & Continua 2015, 47(2), 107-125. https://doi.org/10.3970/cmc.2015.047.107

Abstract

This work represents a comparative study of Wavelet Transform of angular vibration signal and the traditional Fourier analysis applied to the signals of angular vibration, in one transmission which involve gears. How it is known, the elastic deformation of the material, together with the superficial irregularities of the teeth due to wear, provoke characteristic angular oscillations, which make it possible to distinguish between the regular functioning of a mechanism in good condition and the angular vibrations provoked by wear and the superficial irregularities of teeth in poor condition. However, the character of the vibrations produced in such circumstances means that Fourier’s analysis is not the most suitable processing technique for such cases. As the results of this work will show, wavelet transform applied to the angular vibration signal seems to be more suited to detecting and to identifying wear and other surface damage to the teeth of gears.

Keywords

torsional vibrations, wavelet transform, Fourier Transform, laser vibrometry, damaged teeth

Cite This Article

P. . Meroño, F. . Gómez and F. . Marín, "Identification of damaged teeth in gears using wavelet transform applied to the angular vibration signal," Computers, Materials & Continua, vol. 47, no.2, pp. 107–125, 2015.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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