基于 AMD 的经验模态分解含间断信号模态混叠消除方法

摘要

Aiming at mode mixing of empirical mode decomposition(EMD)caused by the intermittency signal,a new method to eliminate mode mixing of EMD based on analytical mode decomposition,AMD,is proposed. In this method, taking advantage of instantaneous frequency characteristics of the first intrinsic mode function,IMF,the frequency components of IMF1 can be got,the bisecting frequency and the location of the intermittency signal. Then,AMD is used to extract the intermittency signal and decompose the processed signal by EMD method. Thus,the effect of the intermittency signal is eliminated. The results of simulation analysis and engineering application show that the proposed method can effectively eliminate mode mixing of EMD caused by intermittency signal.%针对在经验模态分解筛选过程中间断信号引起的模态混叠问题，提出了一种基于解析模态分解的经验模态分解模态混叠消除新方法。利用第1个固有模态函数的瞬时频率特性得到其频率成分及二分频率，且能实现对间断信号的定位，然后再采用解析模态分解方法分离出间断信号，再对处理后的信号进行经验模态分解，从而消除该间断信号的影响。仿真分析和工程应用的结果表明，该方法能有效消除间断信号在经验模态分解过程中引起的模态混叠现象。