Experimental study on leak detection and location for gas pipeline based on acoustic method

Experimental study on leak detection and location for gas pipeline based on acoustic method
复制标题

DOI:
10.1016/j.jlp.2011.07.001
复制
发表时间:
2012-01-01
影响因子:
3.5
通讯作者:
Fu Juntao
Fu Juntao
中科院分区:
工程技术3区
文献类型:
--
作者:
Meng, Lingya;Li Yuxing;Fu Juntao

文献摘要

被引文献

相似文献

声波法可以对输气管道泄漏进行检测和定位。本文详细总结了波形特征识别与提取技术,即从时域和频域上区分泄漏信号和干扰信号。通过与现场输油管道的相似性分析,设计并建立了高压长距离泄漏试验回路。利用小波变换对传感器采集的声信号进行消噪处理,消除背景噪声,并利用时频分析方法分析其频域特征。可以得出结论,大多数声信号集中在0-100 Hz的范围内。通过对声信号识别和提取方法的验证和比较,证明了通过时域和频域分析可以有效地去除干扰信号,而相邻区间信号的累积值差、均值差和峰值差等新特征可以有效地检测泄漏,并显著降低虚警率。考虑温度和压力的影响,对泄漏定位公式进行了修正。相对误差在0.01%~ 1.37%之间,定位精度得到显著提高。(C)2011爱思唯尔有限公司保留所有权利。
The leak of gas pipelines can be detected and located by the acoustic method. The technologies of recognizing and extracting wave characteristics are summarized in details in this paper, which is to distinguish leaking and disturbing signals from time and frequency domain. A high-pressure and long distance leak test loop is designed and established by similarity analysis with field transmission pipelines. The acoustic signals collected by sensors are de-noised by wavelet transform to eliminate the background noises, and time-frequency analysis is used to analyze the characteristics of frequency domain. The conclusion can be drawn that most acoustic signals are concentrated on the ranges of 0-100 Hz. The acoustic signal recognition and extraction methods are verified and compared with others and it proves that the disturbing signals can be efficiently removed by the analysis of time and frequency domain, while the new characteristics of the accumulative value difference, mean value difference and peak value difference of signals in adjacent intervals can detect the leak effectively and decrease the false alarm rate significantly. The formula for leak location is modified with consideration of the influences of temperature and pressure. The positioning accuracy can be significantly improved with relative error between 0.01% and 1.37%. (C) 2011 Elsevier Ltd. All rights reserved.