Fault Prediction of Distribution Terminal Equipment Based on Entropy Weight Vague Matter-element under the Digital Twin Framework-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Fault Prediction of Distribution Terminal Equipment Based on Entropy Weight Vague Matter-element under the Digital Twin Framework

Published:2021-11-19 Issue: Volume: Page:
ISSN:
Container-title:2021 6th International Conference on Robotics and Automation Engineering (ICRAE)
language:
Short-container-title:

Author:

Zijian Zhao,Jiaxin Liu,Tie Guo,Guanyu Wang,Defu Wei,Shiqing Wang

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9657197/9657756/09657779.pdf?arnumber=9657779

Reference10 articles.

1. Revisiting the modeling of wind turbine power curves using neural networks and fuzzy models: an application-oriented evaluation

2. Hybrid fuzzy-genetic algorithm to automated discovery of prediction rules[J];ibrahim;Journal of Intelligent & Fuzzy Systems,2021

3. Digital twin for smart electricity distribution networks

4. How to tell the difference between a model and a digital twin

5. Artificial Neural Network Approach for Fault Detection and Identification in Power Systems with Wide Area Measurement Systems

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. A review on digital twins for power generation and distribution;International Journal of Information Security;2023-12-01

2. Application status and prospects of digital twin technology in distribution grid;Energy Reports;2022-11

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