Development of automatic identification method for GIS PD (Partial Discharge) defects diagnosis

被引：3

作者：

Choi, Young Chan ^{[1
]}

Jung, Seung Wan ^{[1
]}

Kim, Soo Nam ^{[1
]}

Kim, Seong Il ^{[1
]}

Kwon, Joong Lok ^{[1
]}

机构：

[1] Hyundai Heavy Ind Co LTD, Electromech Res Inst, Yongin 446716, Gyeonggi Do, South Korea

来源：

2007 IEEE LAUSANNE POWERTECH, VOLS 1-5 | 2007年

关键词：

artificial neural network; feature extraction; GIS PD; PD pattern database; RECOGNITION; PATTERNS;

D O I：

10.1109/PCT.2007.4538453

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper, an overview of a new GIS (Gas Insulated Switchgear) PD (Partial Discharge) diagnostic algorithm for both single-defects and multi-defects in HiPDS-G (Hyundai intelligent Preventive Diagnostic System for GIS) developed by HHI(Hyandai Heavy Industries Co., Ltd) is given. The work includes PD defects data acquisition and analysis, ANN (Artificial Neural Network) modeling as an automatic identification method and application for PD defects diagnosis. And the agreement rate analysis through the application of the developed algorithm for PD defects diagnosis is performed.

引用

页码：1005 / +

页数：3

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