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.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
REFERENCES
Troitskii, V.A., Karmanov, M.N., and Troitskaya, N.V., Non-destructive quality control of composite materials, Tekh. Diagn. Nerazrush. Kontrol’, 2014, no. 3, p. 29.
Murashov, V.V. and Rumyantsev, A.F., Defects of monolithic parts and multilayer structures made of polymer composite materials and methods for their detection. https://viam.ru/public/files/2008/2006-204706.pdf. Accessed March 28, 2018
Gorbachev, A.A., The diagnostics of internal combustion engines of automobiles by acoustic engine radiation, Teor. Prakt. Sovrem. Nauki, 2016, no. 6 (12).
Lus, T., Vibro-acoustic methods in marine diesel engines diagnostics, J. KONES Powertrain Transp., 2011, vol. 18, no. 3, p. 203.
Kablov, E., Murashov, V., and Rumyantsev, A., Diagnostics of polymer composites by acoustic methods, Ultragarsas, 2006, no. 2 (59).
Akhmetkhanov, R.S., The patterns of the power spectral density distribution of fractal and multifractal processes, J. Mach. Manuf. Reliab., 2018, vol. 47, no. 3, p. 235.
Akhmetkhanov, R.S., Application of wavelet transforms for the analysis of one-, two-, and three-dimensional data arrays, J. Mach. Manuf. Reliab., 2013, vol. 42, no. 5, p. 432.
Akhmetkhanov, R.S., The use of fractal theory and wavelet analysis to identify the features of time series in the diagnosis of systems, Vestn. Nauch.-Tekh. Razvit., 2009, no. 1, p. 26.
Misiti, M., Misiti, Y., Oppenheim, G., Wavelet Toolbox User’s, Natick, MA: MathWorks, 1996.
Funding
This work was supported by a grant from the Russian Science Foundation, project no. 14-19-00776-P.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
The authors declare they have no conflict of interest.
Additional information
Translated by A. Kolemesin
About this article
Cite this article
Akhmetkhanov, R.S., Dubinin, E.F. Analysis of Acoustic Signals for Diagnostics of Composite Materials. J. Mach. Manuf. Reliab. 49, 170–175 (2020). https://doi.org/10.3103/S105261882002003X
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S105261882002003X