Application of signal theory procedures to partial discharge detection methods

摘要

The actual methods based on digital signal processing algorithms make the partial discharge detection and measurements more easier, even in the presence of environment noises. The measurement results make it possible to assess the procedures of signal processing implemented in the DADS system. Digital filtering is very suitable tool for removing of noises especially of sinusoidal kind. Time averaging gives good results for measurements being done in the presence of nonsynchronic noises but as result average values of p.d signals from whole registration time are obtained. Correlation functions and signal analysis in time-frequency space give the information about signal properties and about the kind and value of external noises and disturbances.