基于噪声信号的声源检测与故障诊断  

Sound Sources Detection and Fault Diagnosis Based on Noise Signal

作　　者：吉小军[1] 施文康[1] 张自嘉[1] 张国伟[1] 

机构地区：[1]上海交通大学仪器工程系,上海200030

出　　处：《计算机测量与控制》2003年第12期918-920,共3页Computer Measurement &Control

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。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.

关 键 词：机械设备 声源检测 故障诊断 噪声信号 

分 类 号：TH17[机械工程—机械制造及自动化]