中国海洋平台2024,Vol.39Issue(5) :29-38.DOI:10.12226/j.issn.1001-4500.2024.05.20240506

基于联合去噪方法的泄漏声源定位方法

Localization of Sound Sources of Leakage Based on Joint Denoising Method

吴奇兵 李豪杰 陈泽光 李文涛 江毅 刘可扬 陈明新 蔡宝平 葛伟凤
中国海洋平台2024,Vol.39Issue(5) :29-38.DOI:10.12226/j.issn.1001-4500.2024.05.20240506

基于联合去噪方法的泄漏声源定位方法

Localization of Sound Sources of Leakage Based on Joint Denoising Method

吴奇兵 1李豪杰 2陈泽光 1李文涛 1江毅 2刘可扬 2陈明新 2蔡宝平 2葛伟凤3
扫码查看

作者信息

  • 1. 中海油安全技术服务有限公司,天津 300450
  • 2. 中国石油大学机电工程学院,山东青岛 266580
  • 3. 中海油安全技术服务有限公司,天津 300450;中海油能源发展股份有限公司安全环保分公司,天津 300450
  • 折叠

摘要

为了在水下含噪信号中提取管道泄漏产生的气泡声学信号并进行泄漏源定位,提出基于联合去噪方法的泄漏声源定位方法.提出改进的灰狼优化算法,能够更快更优地寻找变分模态分解(Variational Mode Decomposition,VMD)的最优参数;再提出结合参数优化的VMD算法和小波去噪算法的联合去噪方法,对水下泄漏信号进行去噪处理.为验证所提方法在实际水下环境存在水流噪声时的去噪效果,设计水下泄漏噪声干扰试验.结果表明,该方法可有效去除原始信号的噪声,最终完成信号时差的求取和泄漏源的定位.

Abstract

In order to extract the underwater acoustic signal generated by the pipeline leakage and locate the leakage source in noisy signals,a method of locating the leakage sound source based on a joint denoising method is proposed.An improved grey wolf optimization algorithm is proposed,which can quickly and optimally find the optimal parameters of the Variational Mode Decomposition(VMD).A joint denoising method combining VMD algorithm with parameter optimization and wavelet denoising algorithm is proposed to denoise the underwater leakage signals.To verify the denoising effect of the proposed method in actual underwater environments with water flow noise,an underwater leakage noise interference test is designed.The results show that the proposed method can effectively remove the noise of the original signal,and the signal time difference can be obtained and the leakage source can be located.

关键词

水下管道/气体泄漏/泄漏定位/改进的灰狼优化算法/变分模态分解/联合去噪方法

Key words

underwater pipeline/gas leakage/leakage location/improved grey wolf optimization algorithm/Variational Mode Decomposition(VMD)/joint denoising method

引用本文复制引用

基金项目

海油发展科技重大专项"海上石油设施本质安全一体化技术研究"(Ⅰ期)子课题(HFKJ-2D2X-AQ-2021-03)

国家重点研发计划(2022YFC2806100)

出版年

2024
中国海洋平台
中国船舶工业集团公司第十一研究所

中国海洋平台

CSTPCD
影响因子:0.271
ISSN:1001-4500
参考文献量4
段落导航相关论文