DocumentCode :
1432695
Title :
A knowledge-based electrical diagnostic system for mining machine maintenance
Author :
Berzonsky, Bruce E.
Volume :
26
Issue :
2
fYear :
1990
Firstpage :
342
Lastpage :
346
Abstract :
To investigate the applicability of expert systems in the area of control circuit diagnostics, the US Bureau of Mines has developed a knowledge-based system to diagnose component malfunctions in the electrical control circuit of a continuous mining machine. The system leads the user through the appropriate procedures required to quickly identify the faulty control-circuit component. Graphical displays are incorporated in the system to assist the user in locating the various components and test points. Once the faulty component has been isolated, the system is capable of accessing a database which can provide mine personnel with information concerning specific component part numbers and the availability and location of spare parts. The expert system development tool used to build the system, the structure and development of the knowledge base, and the software used to implement and graphical display and equipment database are discussed
Keywords :
electrical engineering computing; expert systems; maintenance engineering; mining; USA; component malfunctions; database; development tool; electrical control circuit; expert systems; knowledge-based electrical diagnostic system; mining machine maintenance; personnel; software; Circuit faults; Circuit testing; Control systems; Databases; Diagnostic expert systems; Displays; Fault diagnosis; Knowledge based systems; Personnel; System testing;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/28.54261
Filename :
54261
Link To Document :
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