Spur Gear Damage Analysis Using Variation of Speed Range

Abstract

Gears having an acoustic signal is generally noisy and non-stationary in nature. The faulty gears may spread and increase the damage to the entiremechanism. This paper discussed how to diagnosesgear defect identification using dual tree complex wavelet transform and Variation of speed range. The acoustic signal from the healthy gear mesh is used as the reference signal, comparing the faulty gear signal and improper chamfering. Gear with seeded defects in one or more of teeth is analyzed. The proposed method is used to determine the effectiveness of gear from signal by performing simulations. The parameters such as RMS, Peak, Kurtosisand crest factor are measured. Acoustic signalsare used for tooth tip breakage, fatigue cracking, pitting, estimating the severity of defects. It helps in avoiding gear teeth fractures damage and motors gear health.