运用改进掩膜信号法的经验模态分解

为了克服经验模态分解中出现的模态混叠现象,提出了一种基于改进的掩膜信号法的经验模态分解方法。该方法通过设置掩膜信号,并依据能量法优化掩膜信号的选择,结合经验模态分解达到了消除模态混叠现象的目的,并利用仿真信号以及齿轮箱振动信号进行了验证。试验结果表明,该方法可有效分离混叠模态,提取有用信号。

Use of an Improved Masking Signal to Improve Empirical Mode Decomposition

In order to solve the mode mixing problem encountered in the standard EMD (empirical mode decomposition), an improved EMD method is suggested in this work. In the method, a masking signal selected by optimization according to ener gy method is composed with the signal to be decomposed; then the composed singna l is decomposed by using EMP mehtod. In this way, the mode mixing phenomenon cou ld be eliminated. The method also allows EMD to be used to separate components t hat are si milar in frequency that would be inseparable with standard EMD techniques. E xperimental results show that the method suggested in this work is practica l and effective.