Extraction of gearbox fault features from vibration signal using wavelet transform

Abstract

Vibration signals from a gearbox are usually noisy. As a result, it is difficult to find early symptoms of a potential failure in a gearbox. Wavelet Transform is a powerful tool to signals de-noising and disclose transient information drown in nonstationary vibration signals. Combined with practice example, this paper shows the effectivity of the WT in two facets about signals de-noising and fault extraction. © 2006 IOP Publishing Ltd.