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管道泄漏声波信号特征提取方法及实验研究

Feature Extraction Method and Experimental Study of Pipeline Leakage Acoustic Wave Signal
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摘要 为探究管道泄漏检测中信号的特征及变化规律,开展了理论研究与实验分析。采集不同工况下管道泄漏声波信号,利用变分模态分解对管道泄漏声波信号进行分解重构,并提取相应特征值,处理并对比分析不同运行压力、不同泄漏孔径、不同位置等工况的管道泄漏声波信号特征值。结果表明:管道运行压力与泄漏孔径与泄漏声波信号幅值呈正相关,管道泄漏位置与泄漏声波信号幅值呈负相关。因此,今后在对管道泄漏进行分析时需结合不同的工况进行对应的具体分析。此研究为基于声波法的管道泄漏检测提供了理论和数据支撑。 In order to explore the changing rules and signal characteristics in pipeline leakage detection,theoretical research and experimental analysis are carried out.The acoustic wave signals of pipeline leakage under different working conditions are collected,the acoustic wave signals of pipeline leakage are decomposed and reconstructed by using variational mode decomposition,and the corresponding characteristic values are extracted.The characteristic values of pipeline leakage acoustic wave signals under different operating pressures,leakage apertures,and locations are processed and compared.The results show that the pipeline operating pressure and leakage aperture are positively correlated with the leakage acoustic wave signal amplitude,while the pipeline leakage location is negatively correlated with the leakage acoustic wave signal amplitude.Thus,when analyzing pipeline leakage in the future,it is necessary to carry out specific analyses according to different working conditions.This provides theoretical and data support for pipeline leakage detection based on the acoustic wave method.
作者 朱梓文 徐晴晴 马云栋 董绍华 ZHU Ziwen;XU Qingqing;MA Yundong;DONG Shaohua(Key Laboratory of Oil and Gas Production Safety and Emergency Technology of Emergency Management Department,School of Safety and Ocean Engineering,China University of Petroleum(Beijing))
出处 《油气田地面工程》 2024年第5期34-42,共9页 Oil-Gas Field Surface Engineering
基金 中国石油科技创新基金研究项目“基于大数据的油气田站场风险预警技术”(2021DQ02-0801) 中国石油大学(北京)科研基金“燃气站场掺氢适用性及风险管控技术研究”(2462022YXZZ002) 中国石油天然气集团有限公司-中国石油大学(北京)战略合作科技专项“‘一带一路’海外长输管道完整性关键技术研究与应用”(ZLZX2020-05)。
关键词 管道泄漏 声波检测实验 声波信号特征提取 变分模态分解 pipeline leakage acoustic wave detection experiment acoustic signal feature extraction variational mode decomposition
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