• DocumentCode
    528574
  • Title

    Application Research of a Fault Diagnosis Expert System for Cement Kiln Based on .Net Platform

  • Author

    Wang, Cong ; Wang, Shaolin ; Yu, Guoli ; Li, Xuefeng

  • Author_Institution
    ShanDong Jianzhu Univ., Jinan, China
  • Volume
    1
  • fYear
    2010
  • fDate
    26-28 Aug. 2010
  • Firstpage
    208
  • Lastpage
    212
  • Abstract
    This paper describes a fault diagnosis expert system for cement kiln developed in the way of integrating the new theories and methods of artificial intelligence and network technology with related production technology. The system can give online fault diagnosis and has features of simple network interface, excellent openness and easy expansibility. The design of the system layout, database, knowledge base and reasoning engine is presented in detail. The experiment application in a factory shows its high adaptability and the wide prospect of the system.
  • Keywords
    cements (building materials); expert systems; fault diagnosis; inference mechanisms; kilns; production engineering computing; .net platform; application research; artificial intelligence; cement kiln; database design; fault diagnosis expert system; knowledge base design; network interface; network technology; production technology; reasoning engine; system layout; Cognition; Databases; Expert systems; Fault diagnosis; Kilns; Production; B/S three-lay; Cement Rotary Kiln; Expert System; Fault Diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2010 2nd International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4244-7869-9
  • Type

    conf

  • DOI
    10.1109/IHMSC.2010.58
  • Filename
    5590633