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
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;
Conference_Titel :
TENCON '89. Fourth IEEE Region 10 International Conference
Conference_Location :
Bombay
DOI :
10.1109/TENCON.1989.176990
