Fault detection and classification in electrical power transmission system using artificial neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1186/s40064-015-1080-x.pdf
Reference22 articles.
1. Alanzi EA, Younis MA, Ariffin AM (2014) Detection of faulted phase type in distribution systems based on one end voltage measurement. Electr Power Energy Syst 54:288–292
2. Aziz MS, Abdel MA, Hassan M, Zahab EA (2012) High-impedance faults analysis in distribution networks using an adaptive neuro fuzzy inference system. Electr Power Compon Syst 40(11):1300–1318
3. Bouthiba T (2004) Fault location in EHV transmission lines using artificial neural networks. Int J Appl Math Comput Sci 14(1):69–78
4. Chaturvedi DK (2008) Soft computing techniques and its applications in electrical engineering. Springer, Berlin, Heidelberg
5. Chaturvedi DK, Mohan M, Kalra PK (2004) Improved generalized neuron model for short-term load forecasting. Soft Comput 8:370–379
Cited by 120 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. Dynamic Investigations of Grid Connected Fixed-Speed Wind Turbine During Grid Faults;International Journal of Engineering and Advanced Technology;2023-12-30
2. Fault Detection on Power Transmission Line Based on Wavelet Transform and Scalogram Image Analysis;Energies;2023-12-04
3. Transmission line fault detection and classification based on SA-MobileNetV3;Energy Reports;2023-12
4. Fault Detection and Classification in Electrical Systems: A Machine Learning and Fuzzy Logic-Based System;2023 Workshop on Communication Networks and Power Systems (WCNPS);2023-11-30
5. Fault Diagnosis in Overhead Power Line Using Deep Belief Network;2023 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS);2023-11-23
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