摘要
实际工况下现场设备运行阶段会产生干扰信号,从而对管道泄漏信号造成影响,降低定位精度。为提高天然气管道次声波泄漏检测准确度,综合运用集合平均经验模态分解(EEMD)滤波预计二次相关时延估计(SDE)方法进行次声波泄漏定位,并结合现场数据验证了检测精度,从而实现准确定位天然气管道泄漏的功能。研究结果表明:以EEMD算法对次声波泄漏信号实施滤波,优化模态混叠效果,获得更高信噪比(SNR),充分保留信号内的有效成分,形成了与初始波形相吻合的拟合结果。综合采用EEMD降噪以及二次相关时延估计方法,根据现场天然气管道泄漏信号特征实现了泄漏点的准确定位,能够满足对天然气管道次声波泄漏进行精确定位检测的要求。天然气管道现场测试得到本方案定位相对误差均不超过1%。该研究易于实现,具有较好的实际推广价值。
Interference signals will also be generated during the operation of field equipment under actual working conditions,which will affect the pipeline leakage signals and reduce the positioning accuracy.In order to improve the detection accuracy of natural gas pipeline infrasound leakage,the method of ensemble mean empirical mode decomposition(EEMD)filtering predicted secondary correlation delay estimation(SDE)was used to locate the infrasound leakage,and the detection accuracy was verified with field data,so as to realize the accurate location of natural gas pipeline leakage.The results show that the EEMD algorithm is used to filter the infrasound leakage signal,and the mode mixing effect is optimized,and the signal-to-noise ratio(SNR)is higher,and the active component in the signal is fully retained,and the fitting result is formed which is consistent with the initial waveform.By using EEMD noise reduction and secondary correlation time delay estimation method,the accurate location of the leakage point is realized according to the characteristics of the field gas pipeline leakage signal,which can meet the requirements of accurate location detection of the gas pipeline infrasound leakage.Field tests of natural gas pipelines show that the relative positioning error of this scheme is less than 1%.This research is easy to realize and has good practical value.
作者
路泽永
赵亚丽
沙洲
LU Zeyong;ZHAO Yali;SHA Zhou(Department of Electrical and Electronics,Hebei Petroleum University of Technology,Chengde 067000,Hebei,China;Hebei Institute of Instrument Industry Technology,Chengde 067000,Hebei,China;Industrial Technology Center,Hebei Petroleum University of Technology,Chengde 067000,Hebei,China;State Key Laboratory of Precision Test Technology and Instrument,Tianjin University,Tianjin 300072,China)
出处
《中国工程机械学报》
北大核心
2023年第4期318-322,共5页
Chinese Journal of Construction Machinery
基金
河北省重点研发计划项目(21375502D)。
关键词
天然气管道
泄漏检测
经验模态分解
相关性分析
时延估计
natural gas pipeline
leakage detection
empirical mode decomposition
correlation analysis
time delay estimation
