Abstract
This article presents a method for the analysis of diagnostic acoustic signals for defect detection in composite materials. For this purpose, a multiple-scale decomposition of the acoustic signal and the determination of informational entropy for its components are used. It is established that, in the presence of small defects, the distribution of the power spectral density is little different from the power spectral density for a defect-free region. As a criterion for defect detection, a linear correlation coefficient is selected for vectors composed of informational entropies of multiple-scale components of the acoustic signal.
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