Modern Power Spectral Density Estimation of Discharge Pulses of Polluted Insulators

被引：0

作者：

Tan, Wenqiang ^{[1
]}

Zhu, Zhan ^{[1
,2
]}

Yao, Shuyou ^{[2
]}

Xiong, Lan ^{[2
]}

Zhang, Zhanlong ^{[2
]}

机构：

[1] Zigong Elect Power Co, Zigong 643000, Sichuan, Peoples R China

[2] Chongqing Univ, State Key Lab Power Transmiss Equipment & Sys Sec, Chongqing 400044, Peoples R China

来源：

2008 WORLD AUTOMATION CONGRESS PROCEEDINGS, VOLS 1-3 | 2008年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Although the insulation level of polluted insulators and the number of ultra-violet discharge pulses have close relationship, it is difficult to determine the insulation level of polluted insulators only by the number of discharge pulses. This paper illustrates the method of time-series analysis to study power spectral density (PSD) of ultra-violet discharge pulses from one string of 110kV polluted insulators, by applying Burg algorithm to establish the autoregressive model based on field data. Results indicate that different polluted level has its own corresponding curve, so it is possible to classify the insulation level of insulators through PSD method.

引用

页码：1390 / +

页数：2

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