[1]周 宁,潘 东,赵会军,等.基于小波包分析的模拟天然气管道泄漏声发射定位[J].常州大学学报(自然科学版),2011,(03):9-12.
　ZHOU Ning,PAN Dong,ZHAO Hui-jun,et al.Gas Pipeline Leakage Detection Based on the Acoustic Emission andWavelet Packet Analysis[J].Journal of Changzhou University(Natural Science Edition),2011,(03):9-12.
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基于小波包分析的模拟天然气管道泄漏声发射定位()
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常州大学学报(自然科学版)[ISSN:2095-0411/CN:32-1822/N]

卷:
期数:
2011年03期
页码:
9-12
栏目:
出版日期:
2011-06-30

文章信息/Info

Title:
Gas Pipeline Leakage Detection Based on the Acoustic Emission and Wavelet Packet Analysis
作者:
周 宁;  潘 东; 赵会军; 赵仕浩; 陈 黎
常州大学 江苏省油气储运技术重点实验室,江苏 常州 213016
Author(s):
ZHOU Ning;  PAN Dong;  ZHAO Hui-jun;  ZHAO Shi-hao;  CHEN Li
Jiangsu Key Laboratory of Oil & Gas Storage and Transportation Technology,Changzhou University, Changzhou 213016,China
关键词:
声发射检测;  泄漏检测;  定位;  小波包分析;  互相关分析
Keywords:
acoustic emission testing;  emission testing;  location;  wavelet packet analysis;  cross-correlation analysis
分类号:
TP277
文献标志码:
A
摘要:
开展了模拟天然气管道泄漏检测与定位研究,研究利用小波包分析技术, 首先对声发射信号进行分解, 再对衰减的信号在不同频率段内进行有效的补偿, 然后对分解的信号进行小波包重构, 利用互相关技术计算两个声发射传感器接收到的声发射信号的时差, 进而进行声发射源定位。对模拟天然气管道泄漏的声发射信号的处理结果表明该方法能够有效实现管道泄漏检测与泄漏源定位,并且泄漏源的定位精度高,误差<8%。如能将这一技术改进并实现长距离管道泄漏检测与定位,将具有广阔的应用前景。
Abstract:
This study carried out the leak detection and localization of the simulation natural gas pipeline. Acoustic emission technology was adopted to detect pipe leakage. First, wavelet packet decomposition methods were used to decompose and reduce acoustic noise emission data; then, effectively remedied the attenuated signal at different frequencies, correlation coefficients were compared and the time point corresponding with maximum correlation coefficient was selected as delay-time. This method effectively solves the problem that the existing acoustic emission system has difficulty detecting continuous signal, such as pipeline leakage, and that the leakage location error is larger. The method made pipeline leakage location error less than 8%.

参考文献/References:

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[6]胡昌华, 张军波, 夏军, 等. 基于MATLAB的系统分析与设计——小波分析[M]. 西安: 西安电子科技大学出版社, 1999.
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相似文献/References:

[1]王晓宇.管道泄漏检测及定位技术的研究现状与发展方向[J].常州大学学报(自然科学版),2008,(03):74.
　WANG Xiao- y u,WANG Shu- li.Status Quo of the Study and Direction of Pipeline Leak Detection and Location[J].Journal of Changzhou University(Natural Science Edition),2008,(03):74.

备注/Memo

备注/Memo:
基金项目:公安部消防局应用创新项目(2009XFCX043); 常州大学青年教师基金(50678154); “十二五”科技支撑计划项目(2011BAK03B00) 作者简介:周宁(1977 —),男,四川眉山人,博士,讲师。
更新日期/Last Update: 2011-06-30