Optimized artificial neural network to improve the accuracy of estimated fault impedances and distances for underground distribution system
Author:
Funder
Universiti Malaya
Publisher
Public Library of Science (PLoS)
Subject
Multidisciplinary
Reference37 articles.
1. High impedance fault detection: A review;A Ghaderi;Electric Power Systems Research,2017
2. Fault location in underground cables using ANFIS nets and discrete wavelet transform;S Barakat;Journal of Electrical Systems and Information Technology,2014
3. High-impedance fault location using matching technique and wavelet transform for underground cable distribution network;MS Ali;IEEJ Transactions on Electrical and Electronic Engineering,2014
4. Proposition of an interharmonic-based methodology for high-impedance fault detection in distribution systems;JR Macedo;IET Generation, Transmission & Distribution,2015
5. High-Impedance Fault Detection in the Distribution Network Using the Time-Frequency-Based Algorithm;A Ghaderi;IEEE Transactions on Power Delivery,2015
Cited by 15 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. Vibration-based SHM of Dębica railway steel bridge with optimized ANN and ANFIS;Journal of Constructional Steel Research;2024-04
2. Ensemble learning based transmission line fault classification using phasor measurement unit (PMU) data with explainable AI (XAI);PLOS ONE;2024-02-12
3. Application of improved RBF neural network algorithm in hierarchical management of enterprise;Applied Mathematics and Nonlinear Sciences;2024-01-01
4. Traveling-wave-based Fault location Using Time Delays Between Modal Components in Electrical Distribution Systems;Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering);2023-08-16
5. Prediction Model for Long-Term Bridge Bearing Displacement Using Artificial Neural Network and Bayesian Optimization;Structural Control and Health Monitoring;2023-07-14
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