• DocumentCode
    1167753
  • Title

    Toward systematic construction of diagnostic systems for large industrial plants: methods, languages, and tools

  • Author

    El Ayeb, Béchir

  • Author_Institution
    Dept. de Math. et d´´Inf., Sherbrooke Univ., Que., Canada
  • Volume
    6
  • Issue
    5
  • fYear
    1994
  • fDate
    10/1/1994 12:00:00 AM
  • Firstpage
    698
  • Lastpage
    712
  • Abstract
    We address the problem of systematically constructing diagnostic systems for large industrial plants. Toward this end, we propose an environment based on methods, languages and tools allowing systematic construction of diagnostic systems for units of large industrial plants. This environment is based on a skillful articulation of methods, languages, and tools. The process of construction proceeds in three stages as follows. Using methods, the first stage aims at structuring the unit into a set of hierarchies and graphs pointing out several views. The second stage makes use of languages to give a precise specification of the different components embedded in the unit. Finally, tools map the specifications of the unit to derive the diagnostic system
  • Keywords
    computer integrated manufacturing; diagnostic expert systems; formal specification; industrial plants; software tools; specification languages; artificial intelligence; diagnostic systems; expert systems; fault diagnosis; graphs; hierarchies; large industrial plants; software tools; specification; system engineering; systematic construction; Artificial intelligence; Automation; Diagnostic expert systems; Fault diagnosis; Humans; Industrial plants; Intelligent systems; Knowledge engineering; Power system modeling; Systems engineering and theory;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/69.317701
  • Filename
    317701