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基于改进变分模态分解的供水管道单测点泄漏检测定位方法

石越 江竹

西华大学学报(自然科学版)2024,Vol.43Issue(5):96-102,7.
西华大学学报(自然科学版)2024,Vol.43Issue(5):96-102,7.DOI:10.12198/j.issn.1673-159X.4926

基于改进变分模态分解的供水管道单测点泄漏检测定位方法

Leakage Detection and Location Method of Single Measuring Point of Water Supply Pipeline Based on Improved Variational Mode Decomposition

石越 1江竹2

作者信息

  • 1. 上海城投原水有限公司,上海 200127
  • 2. 西华大学能源与动力工程学院,四川成都 610039
  • 折叠

摘要

Abstract

In order to overcome the problem that the traditional negative pressure wave technology can only detect and locate the leakage in the pipe segment between two sensors,the compression wave and flu-id wave were introduced into the detection and location process.At the same time,in order to improve the accuracy of leak location,a method of calculating the initial leak time based on variational mode decompos-ition and Teager energy operator was proposed.Firstly,VMD was used to decompose the measured signals into multiple IMFs.Then the IMF and reference signals were cross-correlated and the mean square error was calculated to establish the objective function.Secondly,the threshold was set to eliminate most of the noise,and the modal component corresponding to the signal after the initial denoising was reconstructed.Finally signal noise was reduced.In order to verify the effectiveness of the proposed method,the leakage conditions of pipelines with different materials were simulated.The simulation results show that the pro-posed method has less error in calculating the initial leakage time and higher accuracy in locating the leak-age point.The relative error of PVC pipe leakage location is 0.49%,the relative error of steel pipe leakage location is equal to be 0.14%.

关键词

单测点/泄漏检测/变分模态分解/Teager能量算子/漏点定位

Key words

single endpoint/leakage detection/variational modal decomposition/Teager energy operator/location of leakage point

分类

电子信息工程

引用本文复制引用

石越,江竹..基于改进变分模态分解的供水管道单测点泄漏检测定位方法[J].西华大学学报(自然科学版),2024,43(5):96-102,7.

基金项目

国家自然科学面上基金项目(71871130) (71871130)

四川省自然科学基金重点项目(24NSFSC1460). (24NSFSC1460)

西华大学学报(自然科学版)

OACSTPCD

1673-159X

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