EPJ Web of Conferences
Volume 110, 2016Thermophysical Basis of Energy Technologies 2015
|Number of page(s)||4|
|Published online||23 February 2016|
Electric Equipment Diagnosis based on Wavelet Analysis
1 National Research Tomsk Polytechnic University, 634050 Tomsk, Russia
2 Samara State Academy for Humanities and Social Science, 443099 Samara M. Gorkogo St., 65/67, Russia
a Corresponding author: firstname.lastname@example.org
Published online: 23 February 2016
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.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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