A high-impedance fault detection scheme for DC aircrafts based on comb filter and second derivative of voltage

Navid Bayati , Mehdi Savaghebi
{"title":"A high-impedance fault detection scheme for DC aircrafts based on comb filter and second derivative of voltage","authors":"Navid Bayati ,&nbsp;Mehdi Savaghebi","doi":"10.1016/j.geits.2023.100073","DOIUrl":null,"url":null,"abstract":"<div><p>Faults in a DC aircraft power system typically lead to serious equipment damage, which severely threatens the safety of the whole aircraft system. A fast and accurate real-time fault detection scheme is necessary for aircraft power systems to provide high reliability in the system. In this paper, a new fault detection device (FDD) is proposed based on the comb filter and second derivative of the system voltage to detect both low and high-impedance faults (HIFs) in a fast way. The proposed method utilizes the comb filter in the middle of the two first derivatives to detect both high and low-impedance faults within several microseconds. For demonstrating the efficiency, authenticity, and compatibility of the proposed method, digital time-domain simulations are carried out and verified by real-time simulations using an OPAL-RT simulator under different scenarios such as low- and high-impedance fault, overload, and motor starting to verify distinguishing between non-fault disturbances and faults. The results, which are compared with reported methods, prove the accuracy and speed of the proposed FDD in a DC aircraft.</p></div>","PeriodicalId":100596,"journal":{"name":"Green Energy and Intelligent Transportation","volume":"2 2","pages":"Article 100073"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Green Energy and Intelligent Transportation","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2773153723000099","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

Faults in a DC aircraft power system typically lead to serious equipment damage, which severely threatens the safety of the whole aircraft system. A fast and accurate real-time fault detection scheme is necessary for aircraft power systems to provide high reliability in the system. In this paper, a new fault detection device (FDD) is proposed based on the comb filter and second derivative of the system voltage to detect both low and high-impedance faults (HIFs) in a fast way. The proposed method utilizes the comb filter in the middle of the two first derivatives to detect both high and low-impedance faults within several microseconds. For demonstrating the efficiency, authenticity, and compatibility of the proposed method, digital time-domain simulations are carried out and verified by real-time simulations using an OPAL-RT simulator under different scenarios such as low- and high-impedance fault, overload, and motor starting to verify distinguishing between non-fault disturbances and faults. The results, which are compared with reported methods, prove the accuracy and speed of the proposed FDD in a DC aircraft.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于梳状滤波器和电压二阶导数的直流飞机高阻抗故障检测方案
直流飞机电源系统的故障通常会导致严重的设备损坏,严重威胁到整个飞机系统的安全。快速准确的实时故障检测方案对于飞机电力系统提供高可靠性是必要的。本文提出了一种基于梳状滤波器和系统电压二阶导数的新型故障检测装置(FDD),用于快速检测低阻抗和高阻抗故障。所提出的方法利用两个一阶导数中间的梳状滤波器在几微秒内检测高阻抗和低阻抗故障。为了证明所提出方法的有效性、真实性和兼容性,在低阻抗和高阻抗故障、过载和电机启动等不同场景下,使用OPAL-RT模拟器进行了数字时域仿真,并通过实时仿真进行了验证,以验证非故障干扰和故障之间的区别。将结果与已报道的方法进行比较,证明了所提出的直流飞机FDD的准确性和速度。
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 去求助
来源期刊
CiteScore
6.40
自引率
0.00%
发文量
0
期刊最新文献
Unveiling the power of data in bidirectional charging: A qualitative stakeholder approach exploring the potential and challenges of V2G A comprehensive overview of the alignment between platoon control approaches and clustering strategies Co-estimation of state-of-charge and state-of-temperature for large-format lithium-ion batteries based on a novel electrothermal model Towards vehicle electrification: A mathematical prediction of battery electric vehicle ownership growth, the case of Turkey A review on reinforcement learning-based highway autonomous vehicle control
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1