Author:
Badalyan V. G.,Vopilkin A. Kh.
Abstract
A review of the current state and experience of the practical application of artificial neural networks in ultrasonic non-destructive testing is presented. Separately, the features of the use of neural networks for the classification of defects according to data obtained by echo-pulse methods and the TOFD are considered. Information is given on the efficiency of defect classification using neural networks for various ultrasonic testing tasks.
Publisher
Izdatel'skii dom Spektr, LLC
Subject
General Medicine,General Chemistry
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