• DocumentCode
    3267897
  • Title

    Distributed Fault Detection and Diagnosis of Chemical Process Based on MAS

  • Author

    Sun, Jinggao ; Yang, Xinbin ; Huang, Dao

  • Author_Institution
    Branch of State Engineering Research Center of Industrial Automation, East China University of Science and Technology, ShangHai, China. E-mail: sjg@aerc.auto.ecust.edu.cn
  • fYear
    2003
  • fDate
    12-12 June 2003
  • Firstpage
    595
  • Lastpage
    599
  • Abstract
    Multi-agent technology offers a number of characteristics that make it well suited for distributed process monitoring and fault diagnosis tasks. In this paper we introduce a multi-agent architecture to implement distributed applications for chemical process monitoring and diagnosis as a set of cooperating intelligent agents. The agents appeared in this application are defined in ADL (Agent Description Language), a high-level specification language, and interchange data/knowledge through service requests using a common knowledge representation language. Elements of a multi-agent framework that is being used to support this complex distributed application, and the mechanisms used for agent usability within the chemical process environment are also described.
  • Keywords
    Chemical process; Distributed diagnosis; Fault detection; Multi-agents; Chemical process; Distributed diagnosis; Fault detection; Multi-agents;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2003. ICCA '03. Proceedings. 4th International Conference on
  • Conference_Location
    Montreal, Que., Canada
  • Print_ISBN
    0-7803-7777-X
  • Type

    conf

  • DOI
    10.1109/ICCA.2003.1595091
  • Filename
    1595091