Recognition of PD Pattern in GIS using Neural Network

신경회로망을 이용한 GIS내 PD 패턴 인식

This paper describes PD patterns in GIS recognized by using neural network proposed in this paper PD sources in GIS were classified by four states and PD signals were expressed by $\Phi-Q$ distribution, ${\Phi]-Q_m$ distribution, $\Phi-N$ distribution and Q-N distribution. Then statistical operators were extracted from each distributions. As a result, the PD pattern recognizing rate in GIS using neural network proposed in this paper was increased.