Application of Pulse Sequence Partial Discharge Based Convolutional Neural Network in Pattern Recognition for Underground Cable Joints
Author:
Affiliation:
1. Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/94/9808410/09760435.pdf?arnumber=9760435
Reference25 articles.
1. A new approach to partial discharge testing of HV cable systems
2. Investigation of electrical tree growth characteristics in XLPE nanocomposites
3. Discrimination of multiple PD sources using wavelet decomposition and principal component analysis
4. A Convolutional Neural Network-Based Deep Learning Methodology for Recognition of Partial Discharge Patterns from High-Voltage Cables
5. Classification and separation of partial discharge signals by means of their auto-correlation function evaluation
Cited by 23 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. MRATNet: Learning Discriminative Features for Partial Discharge Pattern Recognition via Transformers;IEEE Transactions on Dielectrics and Electrical Insulation;2024-08
2. Accurate Identification of Partial Discharge Signals in Cable Terminations of High-Speed Electric Multiple Unit Using Wavelet Transform and Deep Belief Network;Applied Sciences;2024-05-30
3. Detection of partial discharge patterns in hybrid high voltage power transmission lines based on parallel recognition method;PeerJ Computer Science;2024-05-28
4. Partial discharge diagnosis method for electrical equipment based on PSO-GRNN;Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023);2024-05-13
5. Transformative Technologies in the Evaluation of a Vocational Education System;Journal of Web Engineering;2024-04-08
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