Neural Network Based System for Nondestructive Testing of Composite Materials Using Low-Frequency Acoustic Methods
Journal: Universal Journal of Engineering Science
Year: 2013

The aim of the research was: the scientific justification and development of non-destructive testing system of products made of composite materials using low-frequency acoustic methods. During the work the following problems have been pointed and solved: 1. Analysis of the statistical characteristics of information signals and forming a set of diagnostic parameters. 2. Justification of necessity to use artificial neural networks for the technical state classification of products from composite m