Detection of shaft crack fault in gearbox using Hilbert Transforms

Abstract

The active health monitoring of gearbox systems in the presence of shaft cracks is considered in this work. The detection of shaft cracks defect in gears may be considered as among the most complicated detection in the diagnosis of industrial machines. The objective is to combine vibration analysis and signal processing techniques to detect the crack shaft defect in the gearbox. For early detection and condition monitoring of shaft crack fault, the Hilbert-Transforms technique is used. In order to achieve this objective, a dynamic model of a simple stage gearbox (with and without defects) is proposed. The system consists of two parameters model, involving stiffness and damping, with torsional and lateral vibration and it has 6 degrees of freedom. The pinion's vibration displacement is analyzed using this new approach. The obtained results show the high sensitivity detection of gearbox's shaft damage.