DefinePK

Abstract

Gear is considered as a critical component in machinery elements, their failure caused an unexpected disturbance at industrial processes. Many researchers studied diagnose of gear faults by vibration data analysis. In this regard, we create and develop a vibration database from an industrial plant, then we apply many methods to extract features and we classify gear-faults based on different algorithms. We consider four gear fault classes: healthy gear, with pinion defect, with wheel defect and with both pinion and wheel defects. We perform diagnosis using temporal and spectral analysis, than we improve the fault classification results using appropriate feature extraction combined to nonlinear classifiers. The excellent classification scores in the experimental phase proofs the effectiveness of the proposed methods.