Support Vector Machine-Based Fault Diagnosis of Power Transformer Using k Nearest-Neighbor Imputed DGA Dataset-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Support Vector Machine-Based Fault Diagnosis of Power Transformer Using k Nearest-Neighbor Imputed DGA Dataset

Published:2014 Issue:09 Volume:02 Page:22-31
ISSN:2327-5219
Container-title:Journal of Computer and Communications
language:
Short-container-title:JCC

Author:

Sahri Zahriah Binti,Yusof Rubiyah Binti

Publisher

Scientific Research Publishing, Inc.

Subject

General Medicine

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. Lightweight CNN Architecture Design Based on Spatial–Temporal Tensor and Its Application in Bearing Fault Diagnosis;IEEE Transactions on Instrumentation and Measurement;2024

2. Research on Transformer Temperature Warning Algorithm Based on Support Vector Machine;2023 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC);2023-12-29

3. A Machine Learning Approach for Distribution Transformer Fault Detection;2023 10th IEEE International Conference on Power Systems (ICPS);2023-12-13

4. Research on Machine Learning Based Fault Diagnosis Methods for Power Transformers;2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT);2023-10-11

5. Improvement of power transformer fault diagnosis by using sequential Kalman filter sensor fusion;International Journal of Electrical Power & Energy Systems;2023-07

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