石油化工高等学校学报

石油化工高等学校学报 ›› 2007, Vol. 20 ›› Issue (4): 89-92.

• 计算机与自动化 • 上一篇    下一篇

小波变换在管道泄漏声发射检测中的应用

龚 斌, 李兆南, 鄢利群, 徐 欢   

  1. 沈阳化工学院,辽宁沈阳110142
  • 收稿日期:2007-01-08 出版日期:2007-12-20 发布日期:2017-06-28
  • 作者简介:龚斌(1973-),男,湖北监利县,副教授,博士
  • 基金资助:
    国家自然科学基金资助(50535010)。

 
Application of the Wavelet Transform in the Acoustic Inspection for Pipe Leakage

GONG Bin, LI Zhao-nan, YAN Li-qun, XU Huan   

  1. Shenyang Institute of Chemical Technology,Shenyang Liaoning 110142,P. R. China
  • Received:2007-01-08 Published:2007-12-20 Online:2017-06-28

摘要: 对管道泄漏声发射信号特点和常用小波基函数特点进行了分析,指出Daubechies小波和Symlet小波
是较适于泄漏声发射信号处理的基函数。进行了碳钢管道水泄漏声发射检测实验,用db5和sym5两种小波基分别
对泄漏信号进行小波变换,结果表明,a6级信号的能量占总能量的绝大部分,信号峰值频率集中在2.90~3.81kHz,
两种小波变换在能量分析中最大相对偏差为0.77%,在频率分析中最大相对偏差为5.17%。

关键词: 声发射 ,     小波变换   ,   , 泄漏  ,  ,  频率

Abstract: The characteristics of acoustic signal for pipe leakage and general wavelet primary function were analyzed. It concludes that the suitable primary functions for acoustic signal of pipe leakage are Daubechies wavelet and Symlet wavelet. The experiments of the acoustic inspection were conducted in water leakage of the carbon steel pipe and the wavelet transform of the leakage signal was done by db5 and sym5 wavelet. It shows that the most energy is a6 level signal energy and the peak frequency of the signal focus on 2.90~3.81 kHz. The maximum relative error of two different wavelet transforms is 0.77% in the energy analysis and 5.17% in frequency analysis.

Key words: Acoustic     ,  ,  Wavelet transform  ,   , Leakage  ,   ,  Frequency

引用本文

龚 斌, 李兆南, 鄢利群, 徐 欢. 小波变换在管道泄漏声发射检测中的应用[J]. 石油化工高等学校学报, 2007, 20(4): 89-92.

GONG Bin, LI Zhao-nan, YAN Li-qun, XU Huan.  

Application of the Wavelet Transform in the Acoustic Inspection for Pipe Leakage
[J]. Journal of Petrochemical Universities, 2007, 20(4): 89-92.

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