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基于声信号小波包分析的故障诊断
引用本文:吕琛,王桂增,邱庆刚.基于声信号小波包分析的故障诊断[J].自动化学报,2004,30(4):554-559.
作者姓名:吕琛  王桂增  邱庆刚
作者单位:1.清华大学自动化系,北京;
基金项目:国家自然科学基金(60274015),国家“863”计划(2002AA412420)资助~~
摘    要:为了避免传统的基于振动信号的内燃机主轴承磨损故障诊断中安装传感器以及提取 故障特征频率的麻烦,提出了一种基于内燃机工作声信号小波包图像处理的方法.通过该方法, 可以得到含有内燃机主轴承间隙磨损状态的时频信息,定义出各个标准故障状态的时-频分布 图,建立了基于图像匹配技术的内燃机主轴承磨损故障诊断模型.通过比较待诊断时频分布图 与所有故障模式时频分布图的欧氏距离,可以判断出轴承的间隙磨损状态.结果表明此方法简 单有效、状态信息利用充分.

关 键 词:故障诊断    小波包    时-频分布    图像处理    声信号
收稿时间:2002-10-24
修稿时间:2002年10月24

Fault Diagnosis Based on Wavelet Packet of Sound Signal
LU Chen,WANG Gui-Zeng,QIU Qing-Gang.Fault Diagnosis Based on Wavelet Packet of Sound Signal[J].Acta Automatica Sinica,2004,30(4):554-559.
Authors:LU Chen  WANG Gui-Zeng  QIU Qing-Gang
Affiliation:1.Department of Automation,Tsinghua University,Beijing;Department of Power Engineering,Dalian University of Technology,Dalian
Abstract: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.
Keywords:Fault diagnosis  wavelet packet  time-frequency distribution  image pro-cessing  sound signal
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