Lifting wavelet based fast signal feature extraction method for pipeline leakage detection and pre-warning system

QU Zhi-gang; FENG Hao; JIN Shi-jiu; ZENG Zhou-mo

doi:10.13873/j.1000-97872010.05.025

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Lifting wavelet based fast signal feature extraction method for pipeline leakage detection and pre-warning system

更新时间：2025-09-11

- Lifting wavelet based fast signal feature extraction method for pipeline leakage detection and pre-warning system
- Vol. 29, Issue 5, Pages: 59-62(2010)
- 作者机构：
  
  天津大学精密测试技术与仪器国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872010.05.025
  CLC： TP274
- Published：2010
- 稿件说明：
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[1]曲志刚,封皓,靳世久,曾周末.基于提升小波的管道安全系统信号特征提取方法[J].传感器与微系统,2010,29(05):59-62.

QU Zhi-gang, FENG Hao, JIN Shi-jiu, et al. Lifting wavelet based fast signal feature extraction method for pipeline leakage detection and pre-warning system[J]. 2010, 29(5): 59-62.
[1]曲志刚,封皓,靳世久,曾周末.基于提升小波的管道安全系统信号特征提取方法[J].传感器与微系统,2010,29(05):59-62. DOI： 10.13873/j.1000-97872010.05.025.

QU Zhi-gang, FENG Hao, JIN Shi-jiu, et al. Lifting wavelet based fast signal feature extraction method for pipeline leakage detection and pre-warning system[J]. 2010, 29(5): 59-62. DOI： 10.13873/j.1000-97872010.05.025.

摘要

研究了一种基于提升小波并用于管道泄漏检测和预警系统的信号特征快速提取方法。该预警系统基于Mach-Zehnder光纤干涉仪原理

沿管道同沟敷设一条光缆

实时监测管道沿途发生的泄漏及其他异常事件。通过基于提升小波的信号特征提取方法对管道沿线异常事件引起的振动信号进行特征提取和辨别。利用现场实验得到的信号对该方法进行验证

结果表明:该方法不仅可有效提取检测信号特征

还相对于基于传统小波的类似方法节省了计算时间。

Abstract

A lifting wavelet based fast signal feature extraction method

which is used in pipeline leakage detection and pre-warning system is studied.This pre-warning system based on the principle of Mach-Zehnder optical fiber interferometer

an optical cable is laid along the pipeline in the same ditch.Leakage and other abnormal events along the pipeline can be detected by the system in real-time.By the lifting wavelet based fast signal feature extraction method

the vibration signals led by abnormal events identified and the feature can be extracted.The method can not only detect signals characteristics effectively but also save calculation time compared to similar methods based on traditional wavelets

which are proved by the signals obtained in situ.

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references

基于经验模态分解的管道预警系统信号多尺度混沌特性分析方法 [J]. 曲志刚,靳世久,封皓,曾周末,周琰,李健. 石油学报 . 2008(02)

分布式光纤管道泄漏检测和定位技术 [J]. 周琰,靳世久,张昀超,孙立瑛. 石油学报 . 2006(02)

管道泄漏检测分布式光纤传感技术研究 [J]. 周琰,靳世久,张昀超,孙立瑛. 光电子·激光 . 2005(08)

输油管道泄露检测技术综述 [J]. 周诗岽,吴志敏,吴明. 石油工程建设 . 2003(03)

分布式光纤油气长输管道泄漏检测及预警技术研究 [D]. 曲志刚. 天津大学 2007

The Lifting Scheme: A Custom-Design Construction of Biorthogonal Wavelets [J] . Wim Sweldens. Applied and Computational Harmonic Analysis . 1996 (2)

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