• DocumentCode
    3384859
  • Title

    Design and reliability analysis of emergency trip system with triple modular redundancy

  • Author

    Zou, Jian-Xiao ; Xu, Hong-Bing

  • Author_Institution
    Sch. of Autom. Enginerring, Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2009
  • fDate
    23-25 July 2009
  • Firstpage
    1006
  • Lastpage
    1009
  • Abstract
    According to the high-reliability requirement of emergency trip system (ETS) for steam turbine, a triple modular redundant ETS system is presented in detail in this paper. The system consists of groups of input modules gathering data from sensors, system bus, main controllers running the same application program, and groups of output modules, all of which are configured to triple hardware redundancy with auto-testing and diagnosis function. The parameters synchronization strategy is designed to ensure the real-time and accurate system response, while the adaptable voting mechanism considering auto-testing fault table of system modules is used to ensure the system reliable. By analyzing the system structure and principle, the system reliability model is established. The simulation results and field commissioning proved the triple modular redundant ETS system has a better reliability and stability than the single module system.
  • Keywords
    fault diagnosis; redundancy; reliability; safety; steam turbines; synchronisation; ETS system stability; accurate system response; auto-testing fault table; emergency trip system; fault diagnosis function; real-time system response; reliability analysis; steam turbine; synchronization strategy; triple hardware redundancy; triple modular redundancy; Control systems; Hardware; Real time systems; Redundancy; Reliability; Sensor systems and applications; Stability; System buses; Turbines; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Circuits and Systems, 2009. ICCCAS 2009. International Conference on
  • Conference_Location
    Milpitas, CA
  • Print_ISBN
    978-1-4244-4886-9
  • Electronic_ISBN
    978-1-4244-4888-3
  • Type

    conf

  • DOI
    10.1109/ICCCAS.2009.5250329
  • Filename
    5250329