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中文摘要：
针对管道泄漏声发射检测信号的非平稳特征，该文提出了基于经验模态分解（EMD）的声发射信号分析方法。该信号分析法将管道泄漏产生的复杂声发射信号分解成有限个固有模态信号（IMF），使Hilbert—Huang变换（HHT）的瞬时频率具有了实际物理意义，提高了管道泄漏检测的定位精度。结果表明，HHT法能准确描述声发射波形信号的非线性、非平稳时变特征，是声发射信号时频分析的有效工具。
英文摘要：
A signal analysis method based on EMD （Empirical Mode Decomposition） is proposed aiming at extracting the non-stationary characteristic of the acoustic emission （AE） signal from pipeline leakage. The detected leakage signal can be decomposed into a finite intrinsic mode functions （IMF） by EMD, as a result, it makes the instantaneous frequency of Hilbert-Huang transform have some physical significance and the location accuracy of the leakage detection is increased. It is demonstrated that Hilbert-Huang transform is an effective tool for demonstrating the non-stable and non-linear characteristic of acoustical emission signals.
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Detection of the abnormal events along the oil and gas pipeline and multi-scale chaotic character an
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