Extracting Partial Discharge Signals of Transformer Based On Empirical Mode Decomposition and Elevated MDL Criterion

摘要

According to the character of the ultra-highfrequency narrow-band signal about the partial discharge,a new method using empirical mode decomposition (EMD) and Elevated Minimum Description Length (MDL) criterion is applied to extract the signals from the partial discharge signals buried in excessive noises.At first,EMD is designed to deal with the partial discharge signals,and then the most appropriate coefficients are obtained by Elevated MDL criterion.Finally the corresponding coefficients are reconstructed to achieve de-noised partial discharge.This method has wonderful virtues such as being free from the definition of any basic function,and not needing any threshold choosing.Denoising accuracy and efficiency are greatly improved.Large amounts of simulations prove that this method can wipe off narrow bandwidth noise and white noise efficiently,and it is prior to the de-noising algorithm of wavelet and Elevated MDL.So it provides a new way for extracting the partial discharge.