Methodology for information extraction from oscillograms and its application for high-impedance faults analysis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Methodology for information extraction from oscillograms and its application for high-impedance faults analysis

Published:2016-03 Issue: Volume:76 Page:23-34
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Batista Oureste Elias,Flauzino Rogério Andrade,de Araujo Marcel Ayres,de Moraes Lucas Assis,da Silva Ivan Nunes

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference57 articles.

1. A hybrid framework for fault detection, classification, and location. Part I: Concept, structure, and methodology;Jiang;IEEE Trans Power Delivery,2011

2. Determinant-based feature extraction for fault detection and classification for power transmission lines;Yusuff;IET Gener Transm Distrib,2011

3. Field experience with high-impedance fault detection relays;Depew,2006

4. A classification approach for power distribution systems fault cause identification;Xu;IEEE Trans Power Syst,2006

5. A machine learning and wavelet-based fault location method for hybrid transmission lines;Livani;IEEE Trans Smart Grid,2014

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A double-ended third harmonic method for vegetation high impedance fault location in overhead distribution systems;Electric Power Systems Research;2024-06

2. Unbalanced Distribution Network Cross-Country Fault Diagnosis Method with Emphasis on High-Impedance Fault Syndrome;Engineering, Technology & Applied Science Research;2024-04-02

3. A Data-Driven Based High Impedance Fault Location Method Considering Traveling Waves in Branched Distribution Networks;2024

4. Cross‐country high impedance fault diagnosis scheme for unbalanced distribution network employing detrended cross‐correlation;IET Generation, Transmission & Distribution;2023-06-24

5. Vibration-based multiphase-flow pattern classification via machine learning techniques;Flow Measurement and Instrumentation;2023-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3