• 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 29 Issue 3
Mar.  2019
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Journal of Southwest Jiaotong University  > 2016  >  29(3): 495-518.
LIU Zhigang, SONG Yang, HAN Ye, WANG Hongrui, ZHANG Jing, HAN Zhiwei. Advances of Research on High-speed Railway Catenary[J]. Journal of Southwest Jiaotong University, 2016, 29(3): 495-518. doi: 10.3969/j.issn.0258-2724.2016.03.009
Citation: LIU Zhigang, SONG Yang, HAN Ye, WANG Hongrui, ZHANG Jing, HAN Zhiwei. Advances of Research on High-speed Railway Catenary[J]. Journal of Southwest Jiaotong University, 2016, 29(3): 495-518. doi: 10.3969/j.issn.0258-2724.2016.03.009
shu

Advances of Research on High-speed Railway Catenary

doi: 10.3969/j.issn.0258-2724.2016.03.009
  • Received Date: 12 Oct 2015
  • Publish Date: 25 Apr 2016
    Abstract
  • Dynamic interaction between the catenary and the pantograph is one of the most crucial factors that affect the train operation in high-speed railways. The adverse state of catenary directly influences the power supply safety of traction power system. In this work, four aspects in the research of high-speed railway catenary system were reviewed in detail, namely, the solution methods for the initial equilibrium state of catenary, the dynamic modelling, non-contact detection, and the static and dynamic evaluation. In addition, their recent advances were presented. To deal with the low solution accuracy of the initial equilibrium state of catenary, both the structure finding method with multi-objective constraints and nonlinear finite element procedure were introduced. For the catenary's dynamic modelling, the influence of environmental wind on the catenary was taken into account; based on the environmental wind simulation and wind tunnel test, the aerodynamic coefficients were obtained and the wind field along the catenary was built to analyze wind vibration characteristics of catenary. In order to improve the accuracy of non-contact detection for the catenary, the deep learning theory and real-time detection algorithms can be utilized in future. As for the lack of dynamic evaluation method for the catenary, the modern spectrum estimation, time-frequency analysis, big data technology and their combinations will be the important means for future catenary evaluation.

     

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