宇航计测技术 ›› 2015, Vol. 35 ›› Issue (6): 48-52.doi: 10.12060/j.issn.1000-7202.2015.06.11

• 论文 • 上一篇    下一篇

改进小波阈值去噪法在管道泄漏检测中的应用

陈成波1；石明江1；李魏1   

  1. 1、西南石油大学 机电工程学院，成都 610500
  • 出版日期:2015-12-15 发布日期:2015-12-15
  • 作者简介:陈成波（1990-），男，硕士研究生，主要研究方向：计量与测试技术。
  • 基金资助:
    国家自然科学基金资助项目（21204139）；四川省教育厅面上项目（11ZB020）

Application of Improved Wavelet Threshold De-noising Method in Pipeline Leakage Detection

CHEN Cheng-bo1；SHI Ming-jiang1；LI Wei1   

  1. 1、School of Mechatronic Engineering Southwest Petroleum University， Chengdu 610500
  • Online:2015-12-15 Published:2015-12-15

PDF (PC)

被引次数

3

摘要： 基于负压波式的管道泄漏检测方法中，需要解决的核心问题之一是对负压波信号的去噪。在分析了利用小波变换理论与小波阈值去噪的基础上，对传统的硬阈值和软阈值函数、双曲型和指数型函数与改进的阈值函数算法进行了对比。实验表明，改进算法在处理管道泄漏检测中，对检测的负压波信号能够获得较大的信噪比，具有较好的去噪能力，能有效提高泄漏检测精度。

关键词: 管道泄漏, 小波变换, 阈值去噪, 改进算法

Abstract: Negative pressure wave signal denoising is one of the core issues to be solved in pipeline leakage detection method based on negative pressure wave. A comparison among traditional hard and soft threshold function, hyperbolic and exponential algorithm and improved algorithm has been made on the basis of analyzing wavelet transform theory and wavelet threshold denoising. The results of experiment show that improved algorithm used in pipeline leakage detection processing could obtain a larger SNR (signal to noise ratio) and a good denoising ability for negative pressure wave signal, which could effectively improve leakage detection accuracy.

Key words: Pipeline leakage, Wavelet transform, Threshold de-noising, Improved algorithm

京ICP备09048426号-4　 京公网安备 11010602060144号　版权所有 © 《宇航计测技术》编辑部