• DocumentCode
    2814168
  • Title

    Abnormal Process Condition Prediction (Fault Diagnosis) Using G2 Expert System

  • Author

    Nan, Cen ; Khan, F. ; Iqbal, M.T.

  • Author_Institution
    Memorial Univ. of Newfoundland, St. John´´s
  • fYear
    2007
  • fDate
    22-26 April 2007
  • Firstpage
    1507
  • Lastpage
    1510
  • Abstract
    Abnormal operating conditions (faults) in industrial processes have the potential to cause loss of production, loss of life and/or damage to environment. The accidents, which could cost industry billons of dollars per year, can be prevented if abnormal process condition is predicted and controlled in advance. Due to the increased process complexity and instability in operating conditions, the existing control system may have a limited ability to provide practical assistance to both operators and engineers. Advanced software applications, based on expert system, has the potential to assist engineers in monitoring, detecting, diagnosing abnormal condition and thus providing safe guards against unexpected process conditions.
  • Keywords
    expert system shells; fault diagnosis; production engineering computing; G2 expert system; abnormal process condition prediction; fault diagnosis; industrial processes; process complexity; process instability; Application software; Control systems; Costs; Diagnostic expert systems; Electrical equipment industry; Fault diagnosis; Industrial accidents; Industrial control; Production; Software safety;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2007. CCECE 2007. Canadian Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    0840-7789
  • Print_ISBN
    1-4244-1020-7
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2007.375
  • Filename
    4233034