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
收藏
页码:22 / 35
页数:13
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