Fault Diagnosis Based on Wavelet Packet of Sound Signal
基于声信号小波包分析的故障诊断

In order to avoid the difficulty of installing vibration sensors and extracting characteristic frequency vectors for the traditional vibration-based abrasion fault diagno-sis on the main bearing of diesel engine, this paper presents a new approach based on wavelet packet images processing of sound signal of diesel engine. Thus, the standard time-frequency distribution images of all fault conditions including the gap abrasion in-formation of the main bearing can be defined. Correspondingly, a gap abrasion fault di-agnosis model of the main bearing with images matching is set up. Through comparing the Euclid distance between standard fault image and the test image, the model can rec-ognize the gap abrasion condition. The results show that this method makes the best use of fault information and is simple and effective.