Research of GIS partial discharge type evaluation based on convolutional neural network

doi:10.1063/5.0011998

	Research of GIS partial discharge type evaluation based on convolutional neural network
	Wang, Liuhuo 1; Hou, Kang 2; Tan, Lingqi 3
	2020-08-01
发表期刊	AIP ADVANCES
卷号	10 期号:8 页码:10
摘要	This paper presents a GIS (Gas Insulated Switchgear) partial discharge type evaluation based on the convolutional neural network. It is significant to study GIS partial discharge and effectively classify the types of GIS partial discharge. In order to effectively and efficiently distinguish the types of GIS partial discharge, phase resolved partial discharge is researched and evaluated based on the convolutional neural network. First, the hardware of the evaluation system is introduced in detail. Second, the partial discharge signal is analyzed. Third, the partial discharge signal evaluation based on the convolutional neural network is studied. Finally, the experiment of the evaluation is presented to verify that the evaluation system can effectively and accurately perform GIS partial discharge monitoring and improve the reliability of power grid operation.
DOI	10.1063/5.0011998
收录类别	SCI
语种	英语
WOS研究方向	Science & Technology - Other Topics ; Materials Science ; Physics
WOS类目	Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Physics, Applied
WOS记录号	WOS:000560050000001
出版者	AMER INST PHYSICS
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/15804
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Hou, Kang
作者单位	1.Guangdong Power Grid Co Ltd, China Southern Power Grid, Guangzhou 510600, Guangdong, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 3.Guangdong Power Grid Co Ltd, China Southern Power Grid, Elect Power Res Inst, Guangzhou 510080, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Wang, Liuhuo,Hou, Kang,Tan, Lingqi. Research of GIS partial discharge type evaluation based on convolutional neural network[J]. AIP ADVANCES,2020,10(8):10.
APA	Wang, Liuhuo,Hou, Kang,&Tan, Lingqi.(2020).Research of GIS partial discharge type evaluation based on convolutional neural network.AIP ADVANCES,10(8),10.
MLA	Wang, Liuhuo,et al."Research of GIS partial discharge type evaluation based on convolutional neural network".AIP ADVANCES 10.8(2020):10.