Electric equipment diagnosis based on wavelet analysis

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

Результат исследования: Материалы для журнала

1 Цитирования (Scopus)

Аннотация

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
Артикульный номер01059
ЖурналEPJ Web of Conferences
Том110
DOI
Статус публикацииОпубликовано - 23 фев 2016
СобытиеThermophysical Basis of Energy Technologies 2015 - Tomsk, Российская Федерация
Длительность: 13 окт 201515 окт 2015

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ASJC Scopus subject areas

  • Physics and Astronomy(all)

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