基于希尔伯特黄变换的输气管道泄漏音波时频特性分析

刘翠伟;李玉星&#;孟令雅;孙玉萍

振动与冲击 ›› 2014, Vol. 33 ›› Issue (16) : 42-49.

PDF(3755 KB)
PDF(3755 KB)
振动与冲击 ›› 2014, Vol. 33 ›› Issue (16) : 42-49.
论文

基于希尔伯特黄变换的输气管道泄漏音波时频特性分析

  • 刘翠伟1,李玉星1,孟令雅2,孙玉萍2
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Time-frequency analysis of acoustic leakage signal based on hilbert-huang transform for natural gas pipelines

  • LIU Cui-wei1, LI Yu-xing1, MENG Ling-ya2, SUN Yu-ping2
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摘要

为获得有效直观的音波特征量,采用基于希尔伯特-黄变换的时频分析方法对输气管道泄漏音波能量分布清晰刻画。通过搭建实验管道获得泄漏信号,并对该信号进行经验模态分解(EMD)获得有限数量的固有模态函数(IMF),对IMF进行希尔伯特变换求解瞬时频率,获得信号的时频谱、边际谱;对实验所得泄漏信号进行希尔伯特黄变换,获得信号时频谱;据所得时频谱分析泄漏音波信号特性,获得有效音波特征量。结果表明,希尔伯特黄变换能清晰刻画音波信号的时频域特性,通过希尔伯特黄变换可获得输气管道泄漏音波信号的有效特征量,从而为泄漏检测技术提供支持,进而为输气管道音波法泄漏检测技术应用奠定基础。

Abstract

The acoustic leak detection method for natural gas pipelines is the research hotspot and the leak signal process methods restrict its development. In order to obtain effective acoustic characteristics, the energy distribution of acoustic signal is clearly portrayed based on the Hilbert-Huang Transform method when leakage occurs for natural gas pipelines. Firstly, the acoustic signal is acquired by the experimental loop and then is processed based on the empirical mode decomposition to obtain intrinsic mode functions(IMFs). And the IMFs are transformed by HHT to get instantaneous frequency, Hilbert spectrum and marginal spectrum. Secondly, the acoustic signal acquired by field experiments is processed to get Hilbert spectrum. Thirdly, effective acoustic characteristics are extracted. The results show that the acoustic signal can be processed by HHT and effective characteristic can be extracted, which can provide criterion for leak detection.

关键词

输气管道 / 音波法 / 泄漏检测 / 希尔伯特黄变换 / 经验模态分解

Key words

natural gas pipelines / acoustic method / leak detection / Hilbert-Huang transform / empirical mode decomposition

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刘翠伟;李玉星&#;孟令雅;孙玉萍. 基于希尔伯特黄变换的输气管道泄漏音波时频特性分析[J]. 振动与冲击, 2014, 33(16): 42-49
LIU Cui-wei;LI Yu-xing;MENG Ling-ya;SUN Yu-ping. Time-frequency analysis of acoustic leakage signal based on hilbert-huang transform for natural gas pipelines[J]. Journal of Vibration and Shock, 2014, 33(16): 42-49

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