Title :
An artificial neural network printed circuit board diagnostic system based on infrared energy emissions
Author :
Spence, Hugh F. ; Burris, D.P. ; Lopez, Jorge ; Houston, Robert A.
Author_Institution :
Southwest Res. Inst., San Antonio, TX, USA
Abstract :
A diagnostic method based on the infrared emissions of an electronic system is presented. Steps required to acquire thermal information reduce it to a manageable size, and form diagnostic decisions are discussed. The shortfalls of conventional ATE which may be improved by this approach are identified
Keywords :
artificial intelligence; automatic test equipment; automatic testing; fault location; infrared imaging; neural nets; printed circuit testing; ATE; IR thermography; artificial neural network; automatic testing; diagnostic decisions; infrared energy emissions; printed circuit board; thermal information; Aerospace electronics; Artificial neural networks; Circuit faults; Circuit testing; Electronic circuits; Fault diagnosis; Manuals; Performance evaluation; Printed circuits; Probes;
Conference_Titel :
AUTOTESTCON '91. IEEE Systems Readiness Technology Conference. Improving Systems Effectiveness in the Changing Environment of the '90s, Conference Record.
Conference_Location :
Anaheim, CA
Print_ISBN :
0-87942-576-8
DOI :
10.1109/AUTEST.1991.197528
