Evaluation of feeder monitoring parameters for incipient fault detection using Laplace trend statistic

被引：28

作者：

Kim, CJ ^{[1
]}

Lee, SJ

Kang, SH

机构：

[1] Howard Univ, Dept Elect & Comp Engn, Washington, DC 20059 USA

[2] Myongji Univ, Next Generat Power Technol Ctr, Yongin 449728, South Korea

来源：

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS | 2004年 / 40卷 / 06期

关键词：

condition monitoring; hazard function; incipient fault; Laplace test statistic; trend analysis;

D O I：

10.1109/TIA.2004.836140

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper focuses on a systematic and cumulative statistical approach for identifying symptom parameters of incipient faults in distribution feeders. The proposed method aims at providing a tool for evaluating and identifying the best and highly correlated parameters to the faults so that they could be used for incipient fault detection and feeder condition monitoring. The Laplace test statistic is adopted for trend analysis of the event log of candidate parameters and applied to actual feeder event data for online detection and monitoring purposes.

引用

页码：1718 / 1724

页数：7

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