DocumentCode :
1952539
Title :
Knowledge based system for faulty components detection in production testing of electronic device
Author :
Bajovic, Vera ; Kovic, Gordana Boj ; Kovacevic, Vladimir
Author_Institution :
Fac. of Tech. Sci., Novi Sad Univ., Serbia
fYear :
1997
fDate :
5-7 May 1997
Firstpage :
257
Lastpage :
260
Abstract :
A knowledge-based system is proposed and described for faulty components detection and identification, in production testing of analog electronic boards. Its main parts are: the guided measuring probe and diagnostic expert system. Results are reported of using inductive machine learning technique for diagnostic rules acquisition
Keywords :
analogue circuits; automatic test equipment; automatic test software; diagnostic expert systems; electronic engineering computing; fault location; learning by example; printed circuit testing; probes; production testing; analog electronic boards; diagnostic expert system; diagnostic rules acquisition; faulty components detection; guided measuring probe; inductive machine learning technique; knowledge-based system; production testing; Diagnostic expert systems; Electronic equipment testing; Fault detection; Fault diagnosis; Hardware; Knowledge based systems; Probes; Production systems; Software measurement; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and the Environment, 1997. ISEE-1997., Proceedings of the 1997 IEEE International Symposium on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-3808-1
Type :
conf
DOI :
10.1109/ISEE.1997.605333
Filename :
605333
Link To Document :
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