A Neural Network Applied to Crack Type Recognition
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Begun in 1973, the Review of Progress in Quantitative Nondestructive Evaluation (QNDE) is the premier international NDE meeting designed to provide an interface between research and early engineering through the presentation of current ideas and results focused on facilitating a rapid transfer to engineering development.
This site provides free, public access to papers presented at the annual QNDE conference between 1983 and 1999, and abstracts for papers presented at the conference since 2001.
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Abstract
In these years, a lot of numerical analyses based on elastic wave propagation theory have been carried out in the field of non-destructive evaluation, and responses under various conditions have been accumulated as analytical solutions. By using these results of analysis as a knowledge base, accurate informations about cracks, such as types, sizes, shapes, locations and directions, is expected to be obtained.