Research on Partial Discharge Pattern Recognition in GIS Based on EFPI Sensor-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Research on Partial Discharge Pattern Recognition in GIS Based on EFPI Sensor

Published:2023-05-29 Issue:1 Volume:19 Page:577-584
ISSN:1975-0102
Container-title:Journal of Electrical Engineering & Technology
language:en
Short-container-title:J. Electr. Eng. Technol.

Author:

Wang Zan,Liu Zhongquan,Qiao Lili,Qian Dingdong,Chen Zhongxian,Gao Chaofei^ORCID,Wang Wei

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42835-023-01526-8.pdf

Reference18 articles.

1. Ma GM, Zhou HY, Zhang M et al (2019) A high sensitivity optical fiber sensor for GIS partial discharge detection. IEEE Sensor J 19(20):9235–9243

2. Xiaohu X, Yongfen L, Xiao T, Peng C, Yanming L (2014) Relocatable ultrasonic array and UHF combined sensor applied to PD location in oil. IEEE Sensor J 14(2):357–361

3. Li J, Han X, Liu Z, Yao X (2018) A novel GIS partial discharge detection sensor with integrated optical and UHF methods. IEEE Trans Power Delivery 33(4):2047–2049

4. Wang Y, Yan J, Sun Q, Li J, Yang Z (2019) A mobile nets convolutional neural network for gis partial discharge pattern recognition in the ubiquitous power internet of things context: optimization, comparison, and application. IEEE Access 7:150226–150236

5. Sun S, Sun Y, Xu G, Zhang L, Hu Y, Liu P (2021) Partial discharge pattern recognition of transformers based on the gray-level co-occurrence matrix of optimal parameters. IEEE Access 9:102422–102432

Cited by 1 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. Multi-Method Collaborative GIS Fault Defect Diagnosis Research;2023 5th International Academic Exchange Conference on Science and Technology Innovation (IAECST);2023-12-08

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