• DocumentCode
    3436046
  • Title

    Multi-level reliability states analysis mothed in agent-based complex system reliability simulation

  • Author

    Jun-Hai Cao ; Xiao-Long Chen ; Ying Shen

  • Author_Institution
    Dept. of Tech. Support Eng., Acad. of Armored Force Eng., Beijing, China
  • fYear
    2013
  • fDate
    15-18 July 2013
  • Firstpage
    299
  • Lastpage
    302
  • Abstract
    Agent-based simulation technology is a trend for the future simulation application. This method is more simple and efficient than traditional simulation methods. Agent-based simulation technology with distinct modeling process can greatly reduce the difficulty of modeling and simulation computing, and is more applicable to solve the problems of reliability modeling and simulation for large complex system. Based on former research, Agent-based reliability simulation method and mechanism are analyzed, and a system reliability state-checking method based on signal network flow algorithm is proposed. This method can greatly reduce the difficulty of state-checking computing of system reliability simulation model, improve the flexibility of simulation algorithm, and support state analysis of reliability model in any scale and any form. This method provides a theory support to mission-oriented complex system reliability analysis and simulation.
  • Keywords
    digital simulation; multi-agent systems; software reliability; agent based complex system reliability simulation; agent based simulation technology; multilevel reliability states analysis mothed; signal network flow algorithm; system reliability state checking method; Adaptation models; Aggregates; Analytical models; Computational modeling; Mathematical model; Object oriented modeling; Reliability; adaptive Agent; agent-based simulation; reliability simulation; signal network flow algorithm; state check;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-1014-4
  • Type

    conf

  • DOI
    10.1109/QR2MSE.2013.6625588
  • Filename
    6625588