Extraction of Partial Discharge Acoustic Signal by Wavelet Transform with Teager′s Energy Operator

摘要

To develop a measurement system for monitoring partial discharge （PD） without the effect of external interferences,an algorithm of PD signal extraction based on wavelet transform with Teager′s energy operators was presented.Acoustic signal generated by PD was selected to remove excessive interfering signals and electromagnetic interferences.Acoustic signals were collected and decomposed into 10 levels by wavelet transform into approximation and detail components."Daubechies 25"was proved to be the most suitable mother wavelet for the extraction of PD acoustic signals.Compared with conventional wavelet denoising method,Teager′s energy operators were adopted to the PD signal reconstruction and the signal to noise ratio was increased by 2000-2500 in the experiment,without lost in energy and pulse amplitude.