• DocumentCode
    514870
  • Title

    Formal Verification for Quality Analysis of SDG Fault Diagnosis Model via Symbolic Model Checking

  • Author

    Ning, Ning ; Zhang Jun ; Gao Xiangyang ; Xue Jing

  • Author_Institution
    Coll. of Autom., Northwestern Polytech. Univ., Xian, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    305
  • Lastpage
    308
  • Abstract
    The verification for quality property of SDG fault diagnosis model is originally placed at the framework of symbolic model checking (SMC). SDG model is translated to the symbolic model verifier (SMV) module based on the finite state transition system definition firstly, and the quality property are formally analyzed and extended, then the verification approach are characterized and verified automatically by using NuSMV. The practical applicability within a satellite power system proves that the extended quality property of SDG can be verified correctly and effectively.
  • Keywords
    directed graphs; fault diagnosis; formal verification; SDG fault diagnosis model; finite state transition system; formal verification; quality analysis; satellite power system; signed directed graph; symbolic model checking; symbolic model verifier; Automation; Educational institutions; Fault diagnosis; Formal verification; Mechatronics; Power system analysis computing; Power system modeling; Satellites; Sliding mode control; Virtual manufacturing; NuSMV; SMV module; quality property of SDG;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.103
  • Filename
    5459819