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http://earchive.tpu.ru/handle/11683/33395| Title: | Electric Equipment Diagnosis based on Wavelet Analysis |
| Authors: | Stavitsky, Sergey Palukhin, Nikolay Kobenko, Yury Viktorovich Riabova, Elena |
| Keywords: | электрическое оборудование; диагностика; цифровая обработка; сигналы; вейвлет-преобразования; MathCAD; вейвлет-анализ |
| Issue Date: | 2016 |
| Publisher: | EDP Sciences |
| Citation: | Electric Equipment Diagnosis based on Wavelet Analysis / S. A. Stavitsky [et al.] // European Physical Journal Web of Conferences (EPJ Web of Conferences). — 2016. — Vol. 110 : Thermophysical Basis of Energy Technologies : Proceedings of the Conference, October 13-15, 2015, Tomsk, Russia. — [01059, 4 p.]. |
| 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. |
| URI: | http://earchive.tpu.ru/handle/11683/33395 |
| Appears in Collections: | Материалы конференций |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| dx.doi.org-10.1051-epjconf-201611001059.pdf | 159,78 kB | Adobe PDF | View/Open |
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