Comparative analysis of algorithms for sparse wavelet decomposition of vibration signals
Abstract
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.
About the Authors
Y. P. Aslamov
Belarusian state university of informatics and radioelectronics
Belarus
Belarus
Aslamov Yury Pavlovich - PG student of information radiotechnologies department
220013, Republic of Belarus, Minsk, P. Brovka st., 6
tel. +375-17-293-86-79
I. G. Davydov
Belarusian state university of informatics and radioelectronics
Belarus
Belarus
PhD, associate professor of information radiotechnologies department
References
1. Razrezhennaja vejvletnaja dekompozicija v zadachah vibrodiagnostiki rotornogo oborudovanija / Ju.P. Aslamov [i dr.] // Dokl. BGUIR. 2017. № 8. S. 91–98. (in Russ.)
2. Aslamov Ju.P., Davydov I.G. Vejvlet-funkcija dlja diagnostiki podshipnikov kachenija // Vestn. PGU. 2018. № 11. S.14-21. (in Russ.)
3. Vejvlet-funkcii dlja diagnostiki zubchatyh peredach / Ju.P. Aslamov [i dr.] // Vestn. PGU. 2018. № 3. S. 38–46. (in Russ.)
4. Aslamov Ju.P., Davydov I.G. Izbytochnyj vejvletnyj slovar' dlja razrezhennoj dekompozicii signalov vibracii // Vestn. PGU. 2018. № 4. S. 86–94. (in Russ.)
Review
For citations:
Aslamov Y.P., Davydov I.G. Comparative analysis of algorithms for sparse wavelet decomposition of vibration signals. Doklady BGUIR. 2019;(4):11-17. (In Russ.)
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