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
收藏
页码:215 / 219
页数:5
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