Comparative analysis of algorithms for sparse wavelet decomposition of vibration signals

Five modifications of the sparse wavelet decomposition algorithm for automatic analysis of the vibration signals waveform were proposed in the article. A comparative analysis of the developed modifications was carried out and the best one was selected according to the criterion of maximizing the rat...

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Bibliographic Details
Main Authors:	Y. P. Aslamov, I. G. Davydov
Format:	Article
Language:	Russian
Published:	Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-06-01
Series:	Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:	vibration-based diagnostics sparse decomposition wavelet
Online Access:	https://doklady.bsuir.by/jour/article/view/1088

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record_format	Article
spelling	doaj-114addccbc244672904f83e79ac136d32021-07-28T16:19:56ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-010411171087Comparative analysis of algorithms for sparse wavelet decomposition of vibration signalsY. P. Aslamov0I. G. Davydov1Belarusian state university of informatics and radioelectronicsBelarusian state university of informatics and radioelectronicsFive modifications of the sparse wavelet decomposition algorithm for automatic analysis of the vibration signals waveform were proposed in the article. A comparative analysis of the developed modifications was carried out and the best one was selected according to the criterion of maximizing the rate of signal decomposition and minimizing the approximation error.https://doklady.bsuir.by/jour/article/view/1088vibration-based diagnosticssparse decompositionwavelet
collection	DOAJ
language	Russian
format	Article
sources	DOAJ
author	Y. P. Aslamov I. G. Davydov
spellingShingle	Y. P. Aslamov I. G. Davydov Comparative analysis of algorithms for sparse wavelet decomposition of vibration signals Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki vibration-based diagnostics sparse decomposition wavelet
author_facet	Y. P. Aslamov I. G. Davydov
author_sort	Y. P. Aslamov
title	Comparative analysis of algorithms for sparse wavelet decomposition of vibration signals
title_short	Comparative analysis of algorithms for sparse wavelet decomposition of vibration signals
title_full	Comparative analysis of algorithms for sparse wavelet decomposition of vibration signals
title_fullStr	Comparative analysis of algorithms for sparse wavelet decomposition of vibration signals
title_full_unstemmed	Comparative analysis of algorithms for sparse wavelet decomposition of vibration signals
title_sort	comparative analysis of algorithms for sparse wavelet decomposition of vibration signals
publisher	Educational institution «Belarusian State University of Informatics and Radioelectronics»
series	Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
issn	1729-7648
publishDate	2019-06-01
description	Five modifications of the sparse wavelet decomposition algorithm for automatic analysis of the vibration signals waveform were proposed in the article. A comparative analysis of the developed modifications was carried out and the best one was selected according to the criterion of maximizing the rate of signal decomposition and minimizing the approximation error.
topic	vibration-based diagnostics sparse decomposition wavelet
url	https://doklady.bsuir.by/jour/article/view/1088
work_keys_str_mv	AT ypaslamov comparativeanalysisofalgorithmsforsparsewaveletdecompositionofvibrationsignals AT igdavydov comparativeanalysisofalgorithmsforsparsewaveletdecompositionofvibrationsignals
_version_	1721267703958732800

Comparative analysis of algorithms for sparse wavelet decomposition of vibration signals

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