An artificial intelligence approach to trouble-shooting in automatic test equipment

摘要

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.