首页|Three-Dimensional Sound Source Location Algorithm for Subsea Leakage Using Hydrophone

Three-Dimensional Sound Source Location Algorithm for Subsea Leakage Using Hydrophone

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Leakages from subsea oil and gas equipment cause substantial economic losses and damage to marine ecosystem,so it is essential to locate the source of the leak.However,due to the complexity and variability of the marine environ-ment,the signals collected by hydrophone contain a variety of noises,which makes it challenging to extract useful signals for localization.To solve this problem,a hydrophone denoising algorithm is proposed based on variational modal decomposition(VMD)with grey wolf optimization.First,the average envelope entropy is used as the fitness function of the grey wolf optimizer to find the optimal solution for the parameters K and α.Afterward,the VMD algorithm decomposes the original signal parameters to obtain the intrinsic mode functions(IMFs).Subsequently,the number of interrelationships between each IMF and the original signal was calculated,the threshold value was set,and the noise signal was removed to calculate the time difference using the valid signal obtained by reconstruction.Finally,the arrival time difference is used to locate the origin of the leak.The localization accuracy of the method in finding leaks is investigated experimentally by constructing a simulated leak test rig,and the effectiveness and feasibility of the method are verified.

grey wolf optimizervariational modal decompositionmean envelope entropycorrelation coefficienttime difference of arrival

LI Hao-jie、CAI Bao-ping、YUAN Xiao-bing、KONG Xiang-di、LIU Yong-hong、Javed Akbar KHAN、CHU Zheng-de、YANG Chao、TANG An-bang

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College of Mechanical and Electronic Engineering,China University of Petroleum,Qingdao 266580,China

Shenzhen Urban Public Safety Technology Institute,Shenzhen 518000,China

Institute of Hydrocarbon Recovery,Universiti Teknologi PETRONAS,Bandar Seri Iskandar,Perak Darul Ridzuan 32610,Malaysia

National Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaHigh Tech Ship Research Project of Ministry of Industry and Information TechnologyHigh Tech Ship Research Project of Ministry of Industry and Information TechnologyScience Foundation for Distinguished Young Scholars of Shandong ProvinceTaishan Scholars Project

2022YFC280610252171287523251072023GXB01-05-004-03GXBZH2022-293ZR2022JQ25tsqn201909063

2024

中国海洋工程(英文版)
中国海洋学会

中国海洋工程(英文版)

CSTPCDEI
影响因子:0.338
ISSN:0890-5487
年,卷(期):2024.38(2)
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