Gear fault diagnosis based on continuous Morlet wavelet amplitude and phase map

Abstract

A novel method for detection and diagnosis of the gear wear fault according to complex Morlet wavelet amplitude and phase map is presented. The continuous wavelet transform is widely recognized as an effective technique for machinery fault diagnosis using vibration signals since it can be used to detect both stationary and transitory signals. This advantage makes it very suitable for the detection of singularity generated by localized defects in gear transmission system. In this study, the complex Morlet wavelet amplitude and phase map are used in conjunction to diagnose the gear fault. The experimental results show that complex Morlet wavelet amplitude and phase map is a sensitive indicator of the existence of damage in the gearbox.