Analyzing Signals Radiated from Corona Discharge by Fractal Theory

Studying the signals radiation from corona discharge can provide the important theory basis for on-line monitoring and diagnosis of gas insulated substation (GIS) partial discharge. In this text, the wavelet packet and fractal theory were used to analyze the corona discharge signals. Firstly, the corona discharge signals were decomposed to several frequency bands. The fractal dimension of every band was calculated, and the fractal dimension was used as characteristics of signals radiation from corona discharge. The character peaks of signals radiation from corona discharge were determined by fractal dimension, and the differences of different voltage were found.