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基于噪声信号的声源检测与故障诊断
引用本文:吉小军,施文康,张自嘉,张国伟.基于噪声信号的声源检测与故障诊断[J].计算机测量与控制,2003,11(12):918-920.
作者姓名:吉小军  施文康  张自嘉  张国伟
作者单位:上海交通大学 仪器工程系,上海 200030
摘    要:根据设备发出的噪声信号进行在线声源检测与故障诊断是一项很有价值的研究课题,文章总结了常用的声源检测方法,并重点分析了小波技术应用于声源检测与故障诊断的基本理论和具体实现途径。应用实例表明,小波技术与传统信号处理方法相结合可以更有效地进行声源检测与故障诊断。

关 键 词:机械设备  声源检测  故障诊断  噪声信号
文章编号:1671-4598(2003)12-0918-03
修稿时间:2003年1月1日

Sound Sources Detection and Fault Diagnosis Based on Noise Signal
JI Xiao-jun,SHI Wen-kang,ZHANG Zhi-jia,ZHANG Guo-wei.Sound Sources Detection and Fault Diagnosis Based on Noise Signal[J].Computer Measurement & Control,2003,11(12):918-920.
Authors:JI Xiao-jun  SHI Wen-kang  ZHANG Zhi-jia  ZHANG Guo-wei
Abstract:Sound sources detection and fault diagnosis based on the noise signal are discussed.Common used methods about noise sources detection and fault diagnosis are summed up in this paper.As an emphasis,the basic theory and method about wavelet conversion in noise sources detection and fault diagnosis are discussed.The applying instance shows that the combining of traditional signal processing methods with wavelet conversion theory is more effective in the noise sources detection and fault diagnosis.
Keywords:noise sources detection  fault diagnosis  signal processing  wavelet conversion
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