Abstract
Due to electric equipment development and complication it is necessary to have a precise and intense diagnosis. Nowadays there are two basic ways of diagnosis: analog signal processing and digital signal processing. The latter is more preferable. The basic ways of digital signal processing (Fourier transform and Fast Fourier transform) include one of the modern methods based on wavelet transform. This research is dedicated to analyzing characteristic features and advantages of wavelet transform. This article shows the ways of using wavelet analysis and the process of test signal converting. In order to carry out this analysis, computer software Mathcad was used and 2D wavelet spectrum for a complex function was created.
| Original language | English |
|---|---|
| Article number | 01059 |
| Journal | EPJ Web of Conferences |
| Volume | 110 |
| DOIs | |
| Publication status | Published - 23 Feb 2016 |
| Event | Thermophysical Basis of Energy Technologies 2015 - Tomsk, Russian Federation Duration: 13 Oct 2015 → 15 Oct 2015 |
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ASJC Scopus subject areas
- Physics and Astronomy(all)
Cite this
Electric equipment diagnosis based on wavelet analysis. / Stavitsky, Sergey A.; Palukhin, Nikolay E.; Kobenko, Juri V.; Riabova, Elena S.
In: EPJ Web of Conferences, Vol. 110, 01059, 23.02.2016.Research output: Contribution to journal › Conference article
}
TY - JOUR
T1 - Electric equipment diagnosis based on wavelet analysis
AU - Stavitsky, Sergey A.
AU - Palukhin, Nikolay E.
AU - Kobenko, Juri V.
AU - Riabova, Elena S.
PY - 2016/2/23
Y1 - 2016/2/23
N2 - Due to electric equipment development and complication it is necessary to have a precise and intense diagnosis. Nowadays there are two basic ways of diagnosis: analog signal processing and digital signal processing. The latter is more preferable. The basic ways of digital signal processing (Fourier transform and Fast Fourier transform) include one of the modern methods based on wavelet transform. This research is dedicated to analyzing characteristic features and advantages of wavelet transform. This article shows the ways of using wavelet analysis and the process of test signal converting. In order to carry out this analysis, computer software Mathcad was used and 2D wavelet spectrum for a complex function was created.
AB - Due to electric equipment development and complication it is necessary to have a precise and intense diagnosis. Nowadays there are two basic ways of diagnosis: analog signal processing and digital signal processing. The latter is more preferable. The basic ways of digital signal processing (Fourier transform and Fast Fourier transform) include one of the modern methods based on wavelet transform. This research is dedicated to analyzing characteristic features and advantages of wavelet transform. This article shows the ways of using wavelet analysis and the process of test signal converting. In order to carry out this analysis, computer software Mathcad was used and 2D wavelet spectrum for a complex function was created.
UR - http://www.scopus.com/inward/record.url?scp=84961970468&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84961970468&partnerID=8YFLogxK
U2 - 10.1051/epjconf/201611001059
DO - 10.1051/epjconf/201611001059
M3 - Conference article
AN - SCOPUS:84961970468
VL - 110
JO - EPJ Web of Conference
JF - EPJ Web of Conference
SN - 2100-014X
M1 - 01059
ER -