Abstract
The role of computer aided nondestructive examination (NDE) in the detection and characterization of corrosion damage is demonstrated through the discussion of advancements in the eddy current inspection of nuclear steam generator tubing. The impact of computer technology in the data acquisition, data analysis and data display activities critical to any NDE procedure is reviewed. The potential offered by developing technologies such as artificial intelligence and adaptive learning concepts are discussed along with the combination of experimental and analytical modeling techniques to enhance corrosion damage assessment and material performance.
© 1986 Association for Materials Protection and Performance (AMPP). All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise) without the prior written permission of AMPP. Positions and opinions advanced in this work are those of the author(s) and not necessarily those of AMPP. Responsibility for the content of the work lies solely with the author(s).
1986
Association for Materials Protection and Performance (AMPP)
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