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

Author

Choi, Young Chan ; Jung, Seung Wan ; Kim, Soo Nam ; Kim, Seong Il ; Kwon, Joong Lok

Author_Institution

Electro-Mech. Res. Inst., Hyundai Heavy Ind. Co., Ltd., Yongin

fYear

2007

Firstpage

1005

Lastpage

1014

Abstract

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(Hyundai 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.

Keywords

data acquisition; gas insulated switchgear; neural nets; partial discharges; power engineering computing; GIS PD defects diagnosis; Hyundai Heavy Industries Co., Ltd; Hyundai intelligent Preventive Diagnostic System for GIS; artificial neural network; automatic identification method; data acquisition; gas insulated switchgear; partial discharge; Artificial intelligence; Artificial neural networks; Data acquisition; Data analysis; Gas industry; Gas insulation; Geographic Information Systems; Intelligent systems; Partial discharges; Switchgear; Artificial Neural Network; Feature extraction; GIS PD; PD pattern database;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Tech, 2007 IEEE Lausanne

Conference_Location

Lausanne

Print_ISBN

978-1-4244-2189-3

Electronic_ISBN

978-1-4244-2190-9

Type

conf

DOI

10.1109/PCT.2007.4538453

Filename

4538453