期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：6
页码：10906
DOI：10.15680/IJIRSET.2017.0606140
出版社：S&S Publications
摘要：Partial Discharge (PD) patterns are an important tool for the diagnosis of High Voltage V (HV)insulation systems. Human experts can discover possible insulation defects in various representations of the PD data.One of the most widely used representations is phase-resolved PD (PRPD) patterns. In order to ensure reliable operationof HV equipment, it is vital to relate the observable statistical characteristics of PDs to the properties of the defect andultimately to determine the type of the defect. In this work, we have detected PD source using Artificial Neural Network(ANN) tool in Matlab software.
