半周期半对称延拓的EMD边界处理方法的实现
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摘要
环境脉动下结构非平稳输出信号处理和复杂结构模态参数的识别方法中,希尔伯特-黄变换是一种有效的方法。该方法的核心是经验模态分解和希尔伯特-黄变换谱分析。针对何立志(2006)提出的半周期半对称延拓经验模态分解边界的处理方法,本文以EL Centro地震波的筛分为例,对该方法的实现进行了详细说明和具体运用,证明该方法具有一定的实用价值。
Under the fluctuating environment,between the structure non-stationary output signal processing and complex modal parameter identification methods,Hilbert-Huang Transform is an effective one.The core of this method is empirical mode decomposition (EMD) and Hilbert spectral analysis.Base on the theory of semi-periodical—semi-symmetrical EMD method proposed by He Lizhi (2006) etc,the EL Centro seismic wave sifting case study was performed in this paper,to illustrate the practical value of this method.
Under the fluctuating environment,between the structure non-stationary output signal processing and complex modal parameter identification methods,Hilbert-Huang Transform is an effective one.The core of this method is empirical mode decomposition (EMD) and Hilbert spectral analysis.Base on the theory of semi-periodical—semi-symmetrical EMD method proposed by He Lizhi (2006) etc,the EL Centro seismic wave sifting case study was performed in this paper,to illustrate the practical value of this method.
引文
何立志,2006.希尔伯特-黄变换(HHT)及其在结构损伤识别中的应用[硕士学位论文].北京:北京工业大学.
Huang N.E.,Shen Z.,Long S.R.et al.,1998.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis.Proceedings of the Royal Society London,454(A):903—995.
Yang J.N.,Lei Y.,Lin S.,Huang N.E.,2004.Hilbert-Huang Based Approach for Structural Damage Detection.Journal of Engineering Mechanics,(1):85—95.
Huang N.E.,Shen Z.,Long S.R.et al.,1998.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis.Proceedings of the Royal Society London,454(A):903—995.
Yang J.N.,Lei Y.,Lin S.,Huang N.E.,2004.Hilbert-Huang Based Approach for Structural Damage Detection.Journal of Engineering Mechanics,(1):85—95.
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