Sparse scalegram decomposition algorithm for condition monitoring of rotary equipment
https://doi.org/10.35596/1729-7648-2019-123-5-25-31
Abstract
The article describes an algorithm for the sparse decomposition of vibration signals scalogram for searching of the frequency domains with a significant energy contribution. The developed algorithm is proposed to be used for monitoring the technical condition of rotary equipment. The article presents the testing results of the sparse scalegram decomposition algorithm on the vibration signals of industrial equipment.
About the Authors
Y. P. AslamovBelarus
Aslamov Yury Pavlovich - PG student of information radiotechnologies department.
220013, Minsk, P. Brovka st., 6, tel. +375-17-293-86-79
I. G. Davydov
Belarus
PhD, associate professor of information radiotechnologies department.
220013, Minsk, P. Brovka st., 6
N. V. Kosmach
Belarus
Graduate student of Information radiotechnologies department.
220013, Minsk, P. Brovka st., 6
R. V. Tolkach
Belarus
Master student of information radiotechnologies department.
220013, Minsk, P. Brovka st., 6
References
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3. Razrezhennaja vejvletnaja dekompozicija v zadachah vibrodiagnostiki rotornogo oborudovanija / Ju.P. Aslamov [i dr.] // Dokl. BGUIR. 2017. № 8. S. 91-98. (in Russ.)
4. Aslamov Ju.P., Davydov I.G. Izbytochnyj vejvletnyj slovar' dlja razrezhennoj dekompozicii signalov vibracii / Vestnik PGU. Serija S. 2018. № 4. S. 86-94. (in Russ.)
5. Vejvlet-funkcii dlja diagnostiki zubchatyh peredach / Ju.P. Aslamov [i dr.] // Vestnik PGU. Serija B. 2018. № 3. S. 38-46. (in Russ.)
Review
For citations:
Aslamov Y.P., Davydov I.G., Kosmach N.V., Tolkach R.V. Sparse scalegram decomposition algorithm for condition monitoring of rotary equipment. Doklady BGUIR. 2019;(5):25-31. (In Russ.) https://doi.org/10.35596/1729-7648-2019-123-5-25-31