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
Link To Document :
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