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基于敏感因子SVD的管道泄漏信号去噪研究

朱禹 熊新 吴建德

计算机与数字工程2017,Vol.45Issue(4):768-772,787,6.
计算机与数字工程2017,Vol.45Issue(4):768-772,787,6.DOI:10.3969/j.issn.1672-9722.2017.04.037

基于敏感因子SVD的管道泄漏信号去噪研究

Pipeline Leak Signal De-noising Based on Sensitive Factor SVD

朱禹 1熊新 2吴建德1

作者信息

  • 1. 昆明理工大学信息工程与自动化学院 昆明 650500
  • 2. 云南省矿物管道输送工程技术研究中心 昆明 650500
  • 折叠

摘要

Abstract

Considering the problems of great difficulties in resolving pipeline pressure leak signal de-noising, a new method based on singular value decomposition(SVD) is proposed.First, Hankel matrix in original signal is built.Then SVD decomposition of the selected signals is done.The component signals obtained by decomposition are used to find out the sensitive component by using the sensitive factor.At last, the corresponding singular values of the sensitive components are reconstructed by the located factor.The experimental results show that this method, used as a pretreatment of signals, effectively removes the noise of pressure factor of mineral pipeline, which provides a good foundation for pipeline leak detection and location.Furthermore, a comparison is made between wavelet de-nosing and singular value decomposition, the method used in this paper has better de-noising effects.

关键词

敏感奇异值分解/管道泄漏/去噪

Key words

sensitive factors SVD/pipeline leak/de-noising

分类

信息技术与安全科学

引用本文复制引用

朱禹,熊新,吴建德..基于敏感因子SVD的管道泄漏信号去噪研究[J].计算机与数字工程,2017,45(4):768-772,787,6.

计算机与数字工程

OACSTPCD

1672-9722

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