• DocumentCode
    1813167
  • Title

    Semantics for self-configurable distributed diagnostics

  • Author

    Jirkovsky, Vaclav ; Kadera, Petr ; Vrba, Pavel

  • Author_Institution
    R&D Center, Rockwell Autom., Prague, Czech Republic
  • fYear
    2012
  • fDate
    17-21 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The technology of multi-agent systems has been proven to be suitable for advanced distributed industrial control solutions. Many advantages are gained by distributing the control capabilities to autonomous agents, including handling more complex tasks, robustness and partial fault tolerance. However, every complex system needs flexible diagnostics, especially in the case of large industrial control systems in order to avoid large losses due to interruption of production. This paper examines flexible and complex distributed diagnostic system and the potential utilization of semantics for diagnostics. In terms of contribution, it describes fundamental concepts and approaches within HMM-based diagnostic system and semantic knowledge representation that are basis for proposed automatic HMM compilation process. This approach is illustrated on MAST platform.
  • Keywords
    distributed control; fault tolerance; hidden Markov models; industrial control; knowledge representation; multi-agent systems; HMM-based diagnostic system; MAST platform; advanced distributed industrial control solution; automatic HMM compilation process; autonomous agents; complex distributed diagnostic system; control capabilities; hidden Markov models; multiagent system technology; partial fault tolerance; self-configurable distributed diagnostic semantics; semantic knowledge representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation (ETFA), 2012 IEEE 17th Conference on
  • Conference_Location
    Krakow
  • ISSN
    1946-0740
  • Print_ISBN
    978-1-4673-4735-8
  • Electronic_ISBN
    1946-0740
  • Type

    conf

  • DOI
    10.1109/ETFA.2012.6489642
  • Filename
    6489642