• DocumentCode
    265412
  • Title

    IMA reconfiguration modeling and reliability analysis based on AADL

  • Author

    Zhang Quan ; Shihai Wang ; Liu Bin

  • Author_Institution
    Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    4-7 June 2014
  • Firstpage
    664
  • Lastpage
    668
  • Abstract
    Integrated Modular Avionics (IMA) system has revealed many advantages compared with the previous generation avionics system (Federated Avionics Architectures) and has been developed by engineers. IMA systems employ reconfiguration to manage the recourses of the system dynamically. Some researches on modeling and safety case have been done recently. In this paper, we propose one reliability analysis method based on Architecture Analysis and Design Language (AADL) model for Integrated Modular Avionics (IMA) reconfiguration. Firstly we present a mechanism to describe the dynamic reconfiguration of multimodal system, and it is followed by translating the AADL to Petri net (PN). Finally in the Petri net, the reconfiguration path reliability has been analyzed. The method we proposed is able to be used to assist the design of the IMA reconfiguration in the early stage of development, and thus improving the reliability of the whole system.
  • Keywords
    Petri nets; aerospace computing; aerospace safety; avionics; reliability; AADL model; IMA reconfiguration modeling; IMA system; PN; Petri net; architecture analysis and design language model; dynamic reconfiguration; federated avionics architectures; integrated modular avionics system; multimodal system; reconfiguration path reliability; reliability analysis method; Automation; Conferences; Control systems; Decision support systems; Intelligent systems; AADL; IMA; Petri net; Reconfiguration; Reliability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2014 IEEE 4th Annual International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4799-3668-7
  • Type

    conf

  • DOI
    10.1109/CYBER.2014.6917544
  • Filename
    6917544