Improving the dependability of DC point machines with a novel condition monitoring system
Author:
Affiliation:
1. School of Electronic, Electrical and Computer Engineering, University of Birmingham, UK
2. Central Japan Railway Company, Tokyo, Japan
Abstract
Publisher
SAGE Publications
Subject
Mechanical Engineering
Link
http://journals.sagepub.com/doi/pdf/10.1177/0954409713481748
Reference11 articles.
1. Railway point mechanisms: Condition monitoring and fault detection
2. Life cycle costs for railway condition monitoring
3. Wear assessment employing remote condition monitoring: a case study
4. Distributed quantitative and qualitative fault diagnosis: railway junction case study
Cited by 11 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. Pattern recognition based on statistical methods combined with machine learning in railway switches;Expert Systems with Applications;2024-03
2. Data-driven technology of fault diagnosis in railway point machines: review and challenges;Transportation Safety and Environment;2022-12
3. Railway Point Machine Control Automation Methods;2022 International Ural Conference on Electrical Power Engineering (UralCon);2022-09-23
4. Comparison Between Model-Based and Data-Based Methods for Fault Diagnosis of Railway Turnouts;2022 8th International Conference on Control, Decision and Information Technologies (CoDIT);2022-05-17
5. A Review on the Reliability Analysis of Point Machines in Railways;Nonlinear Dynamics and Applications;2022
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