基于盲源分离技术的泄漏音波信号滤波方法分析

刘光晓;孟令雅;刘翠伟;钱昊铖;李玉星

振动与冲击 ›› 2014, Vol. 33 ›› Issue (24) : 192-199.

PDF(3214 KB)
PDF(3214 KB)
振动与冲击 ›› 2014, Vol. 33 ›› Issue (24) : 192-199.
论文

基于盲源分离技术的泄漏音波信号滤波方法分析

  • 刘光晓 1,孟令雅 2,刘翠伟 1,钱昊铖 1,李玉星 1
作者信息 +

Analysis of filtering methods of leaky acoustic wave based on blind source separation technology

  • LiuGuangxiao1, MengLingya2, LiuCuiwei1, QianHaocheng1, LiYuxing1
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文章历史 +

摘要

音波法泄漏检测技术用于输气管道泄漏检测具有灵敏度高、实时性强、定位精度高等优点,但是现阶段受困于信号滤波技术,难以在实际工程中推广应用。文章总结了现阶段主要的时频域滤波方法,重点介绍了具有代表性的小波滤波和维纳滤波的滤波原理,利用实验室采集的泄漏音波信号验证了两种滤波方法的实际滤波效果。并且讨论了基于时域和频域滤波方法的不足,分析了针对某些工况,滤波方法不能取得良好滤波方法的原因。在此基础上,引入了近年来发展迅速的盲源分离技术,阐述了盲源分离的原理,通过分离构造信号说明了盲源分离技术具有更好的适用性和更好的滤波效果,最后利用实验室采集的泄漏音波信号进行了实际分离,表明盲源分离技术具有实际的应用价值。

Abstract

In the natural gas pipeline leak detection field, acoustic leak detection technology has the advantage of high sensitivity, strong real-time and high accuracy of leakage location. Acoustic method is limited by wave filtering technology and has not been used widely. To solve the problem, the main filtering methods in time and frequency domain was summarized, the typical methods of Wavelet and Wiener filtering was chosen, the principle of the two methods was listed, the actual filtering effect was studied. Filtering methods cannot attain satisfying effect under some situations, the reason is explained and the shortcoming of filtering methods was analyzed. A rapidly developing method-the blind source separation technology was introduced, the theory of signal separation was discussed. By separating structured signals, the blind source separation technology was proved to have better applicability and filtering effect. The separating results of experimental leaky acoustic wave indicates this technology has practical application value.

关键词

音波法泄漏检测技术 / 小波滤波 / 维纳滤波 / 盲源分离。

Key words

Acoustic leak detection technology / wavelet filtering / Wiener filtering / blind source separation.

引用本文

导出引用
刘光晓;孟令雅;刘翠伟;钱昊铖;李玉星 . 基于盲源分离技术的泄漏音波信号滤波方法分析[J]. 振动与冲击, 2014, 33(24): 192-199
LiuGuangxiao;MengLingya;LiuCuiwei;QianHaocheng;LiYuxing. Analysis of filtering methods of leaky acoustic wave based on blind source separation technology[J]. Journal of Vibration and Shock, 2014, 33(24): 192-199

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