Application of Gustafson-Kessel clustering algorithm in the pattern recognition for GIS

被引：0

作者：

Wang, Hui ^{[1
]}

Huang, Chengjun ^{[1
]}

Yao, Linpeng ^{[1
]}

Qian, Yong ^{[1
]}

Jiang, Xiuchen ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200030, Peoples R China

来源：

PRZEGLAD ELEKTROTECHNICZNY | 2011年 / 87卷 / 01期

关键词：

gas insulated switchgear (GIS); partial discharge (PD); Gustafson-Kessel (G-K) method; pattern recognition; PARTIAL DISCHARGES; UHF;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper simulates four typical defects in GIS for PD detection, and uses the pulse, amplitude, phase and number of PD to form the three-dimensional PQN matrix. Based on the PQN, three two-dimensional distributions of Hqmax similar to Phi, Hqmean similar to Phi and Hn similar to Phi can be achieved. Then the new G-K clustering method is introduced to separate the four different defects according to the parameters of Sk, Ku, Pe, Q and CC. At last the comparison with different clustering methods is achieved based on the evaluation criterions which are PC, CE, PI and SI.

引用

页码：215 / 219

页数：5

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