Performance of time domain indicators for gear tooth root crack detection and their noise-sensitivity

Abstract

There are different statistical fault detection indicators applied in the time domain to detect crack propagation in the gear tooth root. ‘TALAF’ and ‘THIKAT’ are two newly presented indicators which have been designed and recommended to improve the performance of ball bearing fault detection after a certain stage of degradation. This chapter studies the performance of these two new indicators, together with the RMS, kurtosis and crest factor indicators, in the context of detecting faults in the gear tooth root. The chapter also presents an investigation of the performance of these indicators in the presence of three levels of random background noise. Gear mesh stiffness calculations and dynamic simulation have been performed using MatlabTM to obtain the residual gear centre point displacement signals for different crack propagation cases. The simulations indicate that the RMS and kurtosis perform well for crack depths up to approximately 50% of the tooth root thickness. Kurtosis and THIKAT show the most sensitive performance with an increasing noise level.