Electric equipment diagnosis based on wavelet analysis

Sergey A. Stavitsky, Nikolay E. Palukhin, Juri V. Kobenko, Elena S. Riabova

Результат исследований: Материалы для журнала

1 цитирование (Scopus)

Выдержка

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.

Язык оригиналаАнглийский
Номер статьи01059
ЖурналEPJ Web of Conferences
Том110
DOI
СостояниеОпубликовано - 23 фев 2016
СобытиеThermophysical Basis of Energy Technologies 2015 - Tomsk, Российская Федерация
Продолжительность: 13 окт 201515 окт 2015

Отпечаток

electric equipment
wavelet analysis
signal processing
analogs
computer programs

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Цитировать

Electric equipment diagnosis based on wavelet analysis. / Stavitsky, Sergey A.; Palukhin, Nikolay E.; Kobenko, Juri V.; Riabova, Elena S.

В: EPJ Web of Conferences, Том 110, 01059, 23.02.2016.

Результат исследований: Материалы для журнала

Stavitsky, Sergey A. ; Palukhin, Nikolay E. ; Kobenko, Juri V. ; Riabova, Elena S. / Electric equipment diagnosis based on wavelet analysis. В: EPJ Web of Conferences. 2016 ; Том 110.
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