GEAR SPALL WIDTH ESTIMATION USING MAXIMUM KURTOSIS PROPERTY

Abstract This paper deals with diagnosis and monitoring of gears. Classic methods aim to detect faults in early stage. In this work we propose a method which enables us not just to detect a spall but also its width in order to determine the remaining life of the defective element. This method is based on higher order statistic (HOS) to identify the mechanical structure. We research the optimal filter which corresponds to the transmission path. It is supposed an ARMA (p, q) non minimal phase filter. We identified it by using maximum kurtosis property supposed to be adapted to the impulsive nature of the gear tooth spall effect. The experimental results that will be presented validate the performance of these filtering techniques in detecting spalls in gears.

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