Application of Weibull Distribution for Detection and Identification of Partial Discharge in XLPE Cable

被引：0

作者：

Hu, Xiaoli ^{[1
]}

Yong, Jun ^{[2
]}

Yang, Bo ^{[2
]}

Liu, Minglin ^{[2
]}

Meng, Hailei ^{[2
]}

Sun, Xiaobin ^{[2
]}

Duan, Yubing ^{[1
]}

Feng, Xinyan ^{[3
]}

Xu, Yongpeng ^{[4
]}

机构：

[1] Shandong Elecrt Power Res Inst, Jinan 250002, Peoples R China

[2] State Grid Shandong Elect Power Co, Jinan 250002, Peoples R China

[3] State Grid Shandong Elect Power Maintenance Co, Jinan 250000, Peoples R China

[4] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY AND ENVIRONMENTAL SCIENCE 2015 | 2015年 / 31卷

关键词：

Weibull distribution; partial discharge; XLPE cable;

D O I：

暂无

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 order to study the application of Weibull distribution in cable partial discharge pattern recognition. We apply a 10kV 30m XLPE cable for this study. Then design four kinds of typical artificial defect model and analyze each of defect model's discharge pulse signals. Finally, estimate the Weibull distribution of signals by use of the maximum likelihood method. The results show that Weibull probability distribution is similar to partial discharge amplitude distribution, the shape parameter beta can be used to identify different types of discharge.

引用

页码：366 / 370

页数：5

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