• DocumentCode
    3593062
  • Title

    Research of industrial furnace fault diagnosis expert system

  • Author

    Yang, Shengquan ; Liu, Bailin

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Xi´´an Technol. Univ., Xi´´an, China
  • Volume
    8
  • fYear
    2010
  • Abstract
    In order to realize fast location and detection of abnormal status during running of industrial furnace, especially abnormal status of firing, this article studies and designs a fault diagnosis expert system based on fault tree theory. Firstly, formalized definition of industrial furnace fault diagnosis expert system is given in the paper, then all component elements of the expert system are analyzed and designed in detail, finally the principles and methods of design knowledge base are introduced to us by using the fault tree theory, and also reasoning algorithm is put forward, which is used to reason the fault by way of fault tree. The project practice indicates that this system knowledge model has good suitability, and what´s more it is used simply and conveniently, also the outcome of fault diagnosis is reliable and steady.
  • Keywords
    diagnostic expert systems; fault location; fault trees; firing (materials); furnaces; inference mechanisms; production engineering computing; abnormal firing status; fault diagnosis expert system; fault tree theory; industrial furnace; knowledge base design; reasoning algorithm; system knowledge model; Cognition; Educational institutions; Furnaces; Heating; Monitoring; Security; Expert System; Fault Tree; Industrial Furnace; Knowledge Base; Reasoning Machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5619377
  • Filename
    5619377