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International Journal of System Signal Control and Engineering Application

ISSN: Online
ISSN: Print 1997-5422
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Early Detection of Defect in Gear Systems using Autocorrelation of Morlet Wavelet Transforms (AMWT)

M. Ayad, M. Rezki, K. Saoudi and Dj. Chikouche
Page: 105-112 | Received 21 Sep 2022, Published online: 21 Sep 2022

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https://doi.org/10.36478/ijssceapp.2017.105.112

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Abstract

The gears are in high demand in the transmission systems of mechanical energy. The role of the gears is to transmit motion or power between two trees at a constant speed ratio. The materials used will vary according to the uses. In this study, we propose a new method for the fault diagnosis of a gear system made of two toothed wheels operating at constant conditions. This method is based on the Autocorrelation of Morlet Wavelet Transforms (AMWT). It is applied on real gear signals for the purpose of early detection of defects present in an experimental tested gear system.

How to cite this article:

M. Ayad, M. Rezki, K. Saoudi and Dj. Chikouche. Early Detection of Defect in Gear Systems using Autocorrelation of Morlet Wavelet Transforms (AMWT).
DOI: https://doi.org/10.36478/ijssceapp.2017.105.112
URL: https://www.makhillpublications.co/view-article/1997-5422/ijssceapp.2017.105.112