Fault detection and classification of an HVDC transmission line using a heterogenous multi‐machine learning algorithm

Author:

Ghashghaei Saber1ORCID,Akhbari Mahdi1ORCID

Affiliation:

1. Department of Electrical Engineering Shahed University Tehran Iran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Cited by 22 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. Application of Various Supervised Machine Learning Techniques for Real Time Fault Detection in Power System;2024 IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES);2024-06-21

2. Signal processing and artificial intelligence based HVDC network protection: A systematic and state-up-the-art review;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2024-06

3. A Machine Learning System for Predicting Severity Under Single Transmission Line Outages;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

4. An algorithm for power transmission line fault detection based on improved YOLOv4 model;Scientific Reports;2024-02-29

5. An Insulator Location and Defect Detection Method Based on Improved YOLOv8;IEEE Access;2024

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