Application of Complex Shifted Morlet Wavelet in Vibration Monitoring of Spindle Bearing of Crank Shaft Grinder

摘要

Grinder is one of key equipments in machining of crank shaft of automobile motor. So its vibration monitoring and fault diagnosis plays an important role in guaranteeing product quality and productivity. This paper builds an on-line vibration monitoring system for spindle bearings in which the complex shifted Morlet wavelet is adopted to realize the envelop demodulation and feature extraction so as to identify the type of fault. The main advantage of this method is that the center frequency and bandwidth are obtained not by user according to experience value manually, but by calculating for vibration signal. Therefore, it is very suitable for on-line monitoring and automatic fault diagnosis. The analysis of typical fault signal of rolling elements bearing shows that it can diagnose the fault accurately.