• DocumentCode
    2651231
  • Title

    Disassembling and Reconstructing Algorithms for Discrete Event Systems

  • Author

    Geng, Xuena ; Ouyang, Dantong ; Guo, Jinsong ; Wang, Xiaoyu

  • Author_Institution
    Key Lab. of Symbolic Comput. & Knowledge Eng. for Minist. of Educ., Jilin Univ., Changchun, China
  • fYear
    2011
  • fDate
    7-9 Nov. 2011
  • Firstpage
    637
  • Lastpage
    640
  • Abstract
    This paper addresses the problem of failure diagnosis in component-based discrete event systems. In this paper we propose a method to obtain the set of components when dealing with diagnosis in large complex discrete event systems. In the new method, before disassembling the system into components, we need to identify whether insert communication events into the system or not. When analyzing the diagnosability, we treat the system containing communication events as a distributed discrete event system. Otherwise we treat the system as a decentralized discrete event system. For the components which are not diagnosable, we propose a method to reconstruct them by utilizing some other components sharing the same communication events with them. This algorithm provides more accurate information of the diagnosability of the system.
  • Keywords
    discrete event systems; failure analysis; component based discrete event systems; disassembling algorithms; distributed discrete event system; failure diagnosis; reconstructing algorithms; Algorithm design and analysis; Artificial intelligence; Discrete event systems; Merging; Refining; Synchronization; Testing; component; decentralized information; diagnosability; discrete event system; synchronizaion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
  • Conference_Location
    Boca Raton, FL
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4577-2068-0
  • Electronic_ISBN
    1082-3409
  • Type

    conf

  • DOI
    10.1109/ICTAI.2011.101
  • Filename
    6103392