An overview of state-of-the-art partial discharge analysis techniques for condition monitoring

被引：186

作者：

Data Analytics Department, Institute for Infocomm Research, ASTAR, 1 Fusionopolis Way #21-01 Connexis, Singapore ^{[1
]}

138632, Singapore

机构：

[1] Data Analytics Department, Institute for Infocomm Research, ASTAR, 1 Fusionopolis Way #21-01 Connexis, Singapore

来源：

IEEE Electr Insul Mag | / 6卷 / 22-35期

关键词：

condition monitoring; feature extraction; partial discharge; pattern recognition; sensor;

D O I：

10.1109/MEI.2015.7303259

中图分类号：

学科分类号：

摘要：

As one step toward the future smart grid, condition monitoring is important to facilitate the reliability of grid asset operation and to save on maintenance cost [1]. Most failures of the power grid are caused by electrical insulation failure, and a key indicator of such electrical failure is the occurrence of partial discharge (PD). Therefore, one focus of condition monitoring is to detect PD, especially in the early stages, to prevent a serious power failure or outage. © 2015 IEEE.

引用

页码：22 / 35

页数：13

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