• DocumentCode
    3027988
  • Title

    Reliability Model for Control Center of Railway Signalling System Based on SRN

  • Author

    Yu Min ; Yang Chunhui ; Zhang Sen

  • Author_Institution
    5th Electron. Res. Inst., Minist. of Inf. Ind. of China, Guangzhou, China
  • fYear
    2013
  • fDate
    29-30 June 2013
  • Firstpage
    987
  • Lastpage
    990
  • Abstract
    Among the subsystems of railway, signalling system is the most important and key equipment of the automation system. Railway signalling system is responsible for directing and used to ensure the safety of train operation, to improve the efficiency of transport and other important tasks, thus the system has an irreplaceable role and high requirements of reliability. The graphical modeling ability of Stochastic Reward Net (SRN) for system reliability analysis can make the model intuitively described, at the same time, SRN can automatically generate a continuous time Markov chain, which has strong ability in mathematics. In this paper, firstly, the function and equipment structure of the railway signalling system is carried out, and then the reliability model of the system is established based on SRN to provide a reliable basis for the design and analysis of railway signalling system.
  • Keywords
    Markov processes; rail traffic control; railway safety; reliability; SRN; automation system; continuous time Markov chain; control center; equipment structure; graphical modeling ability; mathematics; railway signalling system; reliability model; reliability requirements; stochastic reward net; system reliability analysis; train operation safety; transport efficiency; Maintenance engineering; Rail transportation; Reliability engineering; Safety; Servers; Workstations; Control center; Railway signalling system; Reliability model; SRN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ICDMA.2013.231
  • Filename
    6598155