DocumentCode
2837070
Title
An artificial intelligence approach to trouble-shooting in automatic test equipment
Author
Aswathanarayana ; Krishnamurthy, S. ; Manoharan, A.
Author_Institution
Bharat Electron. Ltd., Bangalore, India
fYear
1989
fDate
22-24 Nov 1989
Firstpage
515
Lastpage
518
Abstract
The need for ATE (automatic testing equipment) and its advantages over manual testing and diagnosis are discussed. The importance of an expert system using rule-based techniques to test and trouble-shoot radio equipment is considered. The test system software kernel solves the problems using a computer model of expert human engineering, implementing AI (artificial intelligence) techniques. Automatic diagnostic aids locate faults specifically and rapidly using a fault dictionary (rule knowledge file), a guided probe or a combination of both
Keywords
automatic test equipment; electronic equipment testing; expert systems; fault location; radio equipment; ATE; artificial intelligence; automatic test equipment; expert system; fault dictionary; fault location; guided probe; radio equipment; rule-based techniques; trouble-shooting; Artificial intelligence; Automatic testing; Diagnostic expert systems; Dictionaries; Ergonomics; Kernel; Probes; Software testing; System software; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '89. Fourth IEEE Region 10 International Conference
Conference_Location
Bombay
Type
conf
DOI
10.1109/TENCON.1989.176990
Filename
176990
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