DocumentCode :
1032334
Title :
An expert system for substation fault diagnosis and alarm processing
Author :
Protopapas, C.A. ; Psaltiras, K.P. ; Machias, A.V.
Author_Institution :
Dept. of Electr. Eng., Nat. Tech. Univ. of Athens, Greece
Volume :
6
Issue :
2
fYear :
1991
fDate :
4/1/1991 12:00:00 AM
Firstpage :
648
Lastpage :
655
Abstract :
An expert system for substation fault diagnosis and alarm processing developed by the Electric Power Systems Laboratory of the National Technical University of Athens is presented. It is written in Turbo Prolog and is implemented on a personal computer. The system includes many characteristics of an expert system cell because it can be expanded easily by adding new information to its knowledge base or by changing the existing information. The basic idea behind this system is to provide a nonexpert with the necessary information and interaction in order to make a fault diagnosis through the substation alarms in a very friendly environment. The main task of the system is to replace the troubleshooting manuals of substation equipment and human expertise in substation fault diagnosis and alarm processing with a user-friendly computer environment and to take advantage of the user´s accumulated experience to expand and modify the knowledge base of the expert system. The expert system can be connected directly to a PC-SCADA system through a simple software interface written in C for online data acquisition
Keywords :
alarm systems; electrical faults; expert systems; microcomputer applications; power engineering computing; substations; Electric Power Systems Laboratory; National Technical University of Athens; Turbo Prolog; alarm processing; expert system; personal computer; substation fault diagnosis; user-friendly computer environment; Control systems; Diagnostic expert systems; Displays; Educational institutions; Expert systems; Fault diagnosis; Microcomputers; SCADA systems; Substations; System testing;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/61.131123
Filename :
131123
Link To Document :
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