%0 Journal Article
%T Fault Diagnosis Based on Wavelet Packet of Sound Signal<br>基于声信号小波包分析的故障诊断
%A LU Chen
%A WANG Gui-Zeng
%A QIU Qing-Gang
%A <br>吕琛
%A 王桂增
%A 邱庆刚
%J 自动化学报
%D 2004
%I 
%X 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.
%K Fault diagnosis
%K wavelet packet
%K time-frequency distribution
%K image pro-cessing
%K sound signal<br>故障诊断
%K 小波包
%K 时-频分布
%K 图像处理
%K 声信号
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=18F1A5592A6DF88D&yid=D0E58B75BFD8E51C&vid=340AC2BF8E7AB4FD&iid=E158A972A605785F&sid=D8414BC1307BF1A3&eid=8966A0F1B07BE5EE&journal_id=0254-4156&journal_name=自动化学报&referenced_num=10&reference_num=6