利用经验模态分解方法消除白噪声及谐波

The Application of Empirical Modal Decomposition in Eliminating White Noise and Harmonics

在电力信号的分析中引入经验模态分解方法,可以将电力信号中的白噪声及谐波滤除。首先对信号进行经验模态分解,利用白噪声分解后固有模态函数(IMF)的统计特性将白噪声滤除,然后将剩余的固有模态函数予以重新组合,并再次对新信号进行经验模态分解。由于没有噪声的影响,谐波和基波分量分解在不同的固有模态函数上,最低频的固有模态函数即是要提取的基波分量,谐波分量被消除。实验仿真结果证明了该方法的有效性和正确性。

Empirical Modal Decomposition（EMD） method is introduced to analyze power signal,which can eliminates the white noise and harmonics in the power signal.Firstly,power signal is dealt with by using of EMD,and the white noise is filtered according to statistical characteristics of Intrinsic Modal Function（IMF） after decomposing.Then the remanent IMF can recombined,and new signal will be decomposed by empirical modal.Without the influence of the white noise,the harmonic and fundamental components of the new reset signal can be decomposed in different IMF by EMD,and the IMF of lowest frequency is the required fundamental component,then the harmonics in the power signal can be eliminated.The result of experiment verifies the validity and correctness of the proposed method.