A Digital twin based fault diagnosis framework for bogies of high-speed trains-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Digital twin based fault diagnosis framework for bogies of high-speed trains

Published:2022 Issue: Volume: Page:1-1
ISSN:2469-7281
Container-title:IEEE Journal of Radio Frequency Identification
language:
Short-container-title:IEEE J. Radio Freq. Identif.

Author:

Wu Xingtang¹,Lian Wenbo²^ORCID,Zhou Min²^ORCID,Song Haifeng³^ORCID,Dong Hairong²^ORCID

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China

2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China

3. School of Electronic Information Engineering, Beihang University, Beijing, China

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7433271/7961164/09927243.pdf?arnumber=9927243

Cited by 10 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. Digital-Triplet: a new three entities digital-twin paradigm for equipment fault diagnosis;Journal of Intelligent Manufacturing;2024-08-29

2. Revamping structural health monitoring of advanced rail transit systems: A paradigmatic shift from digital shadows to digital twins;Advanced Engineering Informatics;2024-08

3. Integrating AI and DTs: challenges and opportunities in railway maintenance application and beyond;SIMULATION;2024-02-16

4. Matching Digital Twins with Cloud Integration: Optimizing Productivity and Efficiency through Physical Server Integration;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

5. Parallel Dispatching: A New Paradigm for High-Speed Train Operation Management and Optimization;IEEE Journal of Radio Frequency Identification;2024

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