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