Early Diagnosis of Spalling in the Gear Teeth

Abstract:

The monitoring and vibratory analysis of gear transmission allow the prediction of a possible malfunction and breakdowns. As the gear transmission product non-stationary signals its treatment is too difficult with the usual tools of signal processing witch can product errors in its interpretation. As the characteristics of gear frequencies are predetermined, it is proposed to monitor (fault identification) using wavelet analysis. To simulate the signal to be analyzed, we intentionally introduced a spalling defect. We chose the Daubechies wavelet type which are the most used in diagnostic. The aim of this work is to try to control the various parameters related to the wavelet analysis for reliable and inexpensive detection, i.e., the order of the wavelet and level decomposition. The approach witch was previously used for bearings, consists on observing the kurtosis for several orders wavelet based on the default severity..

• Periodical: Advanced Materials Research (Volume 1016)
• Pages: 249-255
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1016.249
• Online since: August 2014
• Authors: Mustapha Merzoug, Khalid Ait-Sghir, Abdelhamid Miloudi, Paul Jean Dron
• Keywords: Gears, Kurtosis, Spalling, Wavelet

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