Recognition of Fused Partial Discharge Patterns in High Voltage Insulation Systems: A Hybrid DCNN and SVM Based Approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Recognition of Fused Partial Discharge Patterns in High Voltage Insulation Systems: A Hybrid DCNN and SVM Based Approach

Published:2022-03-06 Issue: Volume: Page:1-16
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Aruna Devi I.¹^ORCID,Maheswari R.V.²^ORCID,Rajesh R.³^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, Sri Ramana Institute of Polytechnic College, Tirunelveli, 627 001, India

2. Department of Electrical and Electronics Engineering, National Engineering College, Kovilpatti, 628503, India

3. Department of Engineering Design, Indian Institute of Technology Madras, Chennai, 600036, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2022.2038702

Reference29 articles.

1. IEC Std. 60270: High Voltage Test Techniques – Partial Discharge Measurements, 2000.

2. Identification of Partial Discharge Defects Based on Deep Learning Method

3. A Convolutional Neural Network-Based Deep Learning Methodology for Recognition of Partial Discharge Patterns from High-Voltage Cables

4. Partial Discharge Classification Using Deep Learning Methods—Survey of Recent Progress

5. Non linear support vector machine based partial discharge patterns recognition using fractal features

Cited by 2 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 Modal Data Fusion using Fusion Convolution Network for High Voltage Insulator Condition Monitoring in Power Grid;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

2. Partial discharge ultrasonic signals pattern recognition in transformer using BSO-SVM based on microfiber coupler sensor;Measurement;2022-09

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