• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 27 Issue 5
Oct.  2014
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Article Contents
LIU Dawei, GUO Jin, WANG Xiaomin, CHEN Jianyi, YANG Yang. Intelligent Monitoring Technologies for Railway Signaling Systems in China[J]. Journal of Southwest Jiaotong University, 2014, 27(5): 904-912. doi: 10.3969/j.issn.0258-2724.2014.05.025
Citation: LIU Dawei, GUO Jin, WANG Xiaomin, CHEN Jianyi, YANG Yang. Intelligent Monitoring Technologies for Railway Signaling Systems in China[J]. Journal of Southwest Jiaotong University, 2014, 27(5): 904-912. doi: 10.3969/j.issn.0258-2724.2014.05.025

Intelligent Monitoring Technologies for Railway Signaling Systems in China

doi: 10.3969/j.issn.0258-2724.2014.05.025
  • Received Date: 22 Oct 2013
  • Publish Date: 25 Oct 2014
  • The state of the art in the monitoring technologies for railway signaling systems in China was introduced. By analyzing the drawbacks of these technologies in interconnection, data sharing, intelligent analysis and prediction, as well as their development trend and maintenance requirement, a scheme of an integrated intelligent monitoring and maintenance system for railway signaling systems was presented. The system structure, functionality and key technologies involved such as shared data selection, data integration mechanism, intelligent analysis and interface specifications were also elaborated, which provide the feasible alternatives for the condition-based maintenance of signaling equipments. Moreover, the layered implementation principle based on current monitoring situation, and the security isolation between the monitoring system and signaling systems were discussed.

     

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