Electric equipment diagnosis based on wavelet analysis

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	https://doi.org/10.1051/epjconf/201611001059
Publication status	Published - 23 Feb 2016
Event	Thermophysical Basis of Energy Technologies 2015 - Tomsk, Russian Federation Duration: 13 Oct 2015 → 15 Oct 2015

ASJC Scopus subject areas

Physics and Astronomy(all)

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10.1051/epjconf/201611001059

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title = "Electric equipment diagnosis based on wavelet analysis",

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.",

author = "Stavitsky, {Sergey A.} and Palukhin, {Nikolay E.} and Kobenko, {Juri V.} and Riabova, {Elena S.}",

year = "2016",

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doi = "10.1051/epjconf/201611001059",

language = "English",

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note = "Thermophysical Basis of Energy Technologies 2015 ; Conference date: 13-10-2015 Through 15-10-2015",

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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.

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VL - 110

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