An Electrical Wire Fault Detection Method with Spread Spectrum Time Domain Reflectometry

Junjian Zhu, Jiwen Yu, Kaixuan Chang, Desen Ji, Fan Liu
{"title":"An Electrical Wire Fault Detection Method with Spread Spectrum Time Domain Reflectometry","authors":"Junjian Zhu, Jiwen Yu, Kaixuan Chang, Desen Ji, Fan Liu","doi":"10.1109/IFEEA57288.2022.10037901","DOIUrl":null,"url":null,"abstract":"Electrical wires are the backbones of power systems and fault diagnostic and location methods are required to ensure the safety, reliability, and stability of the power transmission network. In this paper, in order to accurately and rapidly detect and locate open-circuit and short-circuit faults of electrical wires online, two approaches regarding detection and location namely the time domain reflectometry method (TDR) and spread spectrum time domain reflectometry (SSTDR) are introduced and compared. In comparison with TDR, SSTDR has some advantages such as weaker test signal attenuation, higher detection accuracy, online testing, etc. Therefore, we evaluate the detectability and localizability using the SSTDR method in detail, including the transmission characteristics, detection principle, key design, and simulation verification, and the simulation results prove that the fault detection and location of electrical wires using the SSTDR approach can ensure the accuracy and feasibility.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IFEEA57288.2022.10037901","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Electrical wires are the backbones of power systems and fault diagnostic and location methods are required to ensure the safety, reliability, and stability of the power transmission network. In this paper, in order to accurately and rapidly detect and locate open-circuit and short-circuit faults of electrical wires online, two approaches regarding detection and location namely the time domain reflectometry method (TDR) and spread spectrum time domain reflectometry (SSTDR) are introduced and compared. In comparison with TDR, SSTDR has some advantages such as weaker test signal attenuation, higher detection accuracy, online testing, etc. Therefore, we evaluate the detectability and localizability using the SSTDR method in detail, including the transmission characteristics, detection principle, key design, and simulation verification, and the simulation results prove that the fault detection and location of electrical wires using the SSTDR approach can ensure the accuracy and feasibility.
扩频时域反射法检测电线故障
电线是电力系统的骨干,故障诊断和定位方法是输电网络安全、可靠、稳定运行的重要保障。为了准确、快速地在线检测和定位电线的开路和短路故障,本文介绍并比较了时域反射法(TDR)和扩频时域反射法(SSTDR)两种检测和定位方法。与TDR相比,SSTDR具有测试信号衰减更弱、检测精度更高、在线测试等优点。因此,我们对采用SSTDR方法的可检测性和可定位性进行了详细的评估,包括传输特性、检测原理、密钥设计以及仿真验证,仿真结果证明采用SSTDR方法对电线进行故障检测和定位能够保证准确性和可行性。
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