Research on Pollution Flashover Detection of Power Insulator Based on High Frequency Electromagnetic Wave

Qiu Xia, Chenyu He, Yifan Liu, Zihao Shi, Yu Chen
{"title":"Research on Pollution Flashover Detection of Power Insulator Based on High Frequency Electromagnetic Wave","authors":"Qiu Xia, Chenyu He, Yifan Liu, Zihao Shi, Yu Chen","doi":"10.1145/3421766.3421833","DOIUrl":null,"url":null,"abstract":"In power system accidents, power insulators account for a large proportion of pollution flashover accidents caused by pollution. Real-time detection of pollution flashovers is an important guarantee for reducing power system accidents. This paper proposes a principle of using partial discharge of polluted insulators to generate electromagnetic waves to achieve pollution flashover detection. According to the characteristics of electromagnetic waves, this method selects the corresponding frequency band antenna to receive and amplify electromagnetic wave signals, filter out signal interference, and perform data analysis and processing to detect pollution flashover. Experiments show that this method has high detection accuracy and strong anti-interference ability. It can judge the severity of pollution and the type of pollution in real time. It has strong practicability and is widely used.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3421766.3421833","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In power system accidents, power insulators account for a large proportion of pollution flashover accidents caused by pollution. Real-time detection of pollution flashovers is an important guarantee for reducing power system accidents. This paper proposes a principle of using partial discharge of polluted insulators to generate electromagnetic waves to achieve pollution flashover detection. According to the characteristics of electromagnetic waves, this method selects the corresponding frequency band antenna to receive and amplify electromagnetic wave signals, filter out signal interference, and perform data analysis and processing to detect pollution flashover. Experiments show that this method has high detection accuracy and strong anti-interference ability. It can judge the severity of pollution and the type of pollution in real time. It has strong practicability and is widely used.
基于高频电磁波的电力绝缘子污闪检测研究
在电力系统事故中,电力绝缘子在因污染引起的污闪事故中占很大比例。污染闪络的实时检测是减少电力系统事故的重要保证。提出了一种利用受污染绝缘子局部放电产生电磁波来实现污染闪络检测的原理。该方法根据电磁波的特点,选择相应频段的天线接收和放大电磁波信号,滤除信号干扰,并进行数据分析处理,检测污染闪络。实验表明,该方法检测精度高,抗干扰能力强。可以实时判断污染的严重程度和污染类型。实用性强,应用广泛。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信