Neural Network Based System for Nondestructive Testing of Composite Materials Using Low-Frequency Acoustic Methods

V.S. Eremenko, A.V. Pereidenko, E.F. Suslov
2013 Universal Journal of Engineering Science  
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
more » ... cts from composite materials. Comparative analysis of classification and decision making using of the statistical methods (based on chi-square statistics, metric distances, etc.), separating hyperplanes and neural networks. The type of neural network was defined, as a base for the neural network based classifier of composite materials defects. 3. Hardware and software development of information-diagnostic system for non-destructive testing of products from composite materials. Developed software includes three main parts: mathematical support, dataware and I/O module software. 4. Experimental investigation of developed information-diagnostic system in general.
doi:10.13189/ujes.2013.010305 fatcat:53cmncqsjzcrrhbpn25avqqqga