Characterization of acoustic emission signal using wavelet transform

This project aims to show that the wavelet transform proves to be a powerful tool in assisting the partial discharge source detection and locating it as well. This project basically uses two test signals to show how the wavelet transforms works. Before showing any result produced by the wavelet tran...

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Main Author: Kamalesh A/L Nadaraju
Format: text::Thesis
Language:English
Published: 2023
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id my.uniten.dspace-20875
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spelling my.uniten.dspace-208752023-05-04T17:15:09Z Characterization of acoustic emission signal using wavelet transform Kamalesh A/L Nadaraju Electric discharges Acoustic emission testing Wavelets (Mathematics) This project aims to show that the wavelet transform proves to be a powerful tool in assisting the partial discharge source detection and locating it as well. This project basically uses two test signals to show how the wavelet transforms works. Before showing any result produced by the wavelet transform in matlab, fourier transform is done first to show the results obtained. Next wavelet results are done to show the differences between different frequency domains transform. Here we get to see that wavelet already shows its advantages from the three dimensional view it from as a result. This help us to see the whole signal clearer. The ability to analyze by rotating the signal makes it even easier for data analysis. 2023-05-03T15:29:51Z 2023-05-03T15:29:51Z 2012 Resource Types::text::Thesis https://irepository.uniten.edu.my/handle/123456789/20875 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Electric discharges
Acoustic emission testing
Wavelets (Mathematics)
spellingShingle Electric discharges
Acoustic emission testing
Wavelets (Mathematics)
Kamalesh A/L Nadaraju
Characterization of acoustic emission signal using wavelet transform
description This project aims to show that the wavelet transform proves to be a powerful tool in assisting the partial discharge source detection and locating it as well. This project basically uses two test signals to show how the wavelet transforms works. Before showing any result produced by the wavelet transform in matlab, fourier transform is done first to show the results obtained. Next wavelet results are done to show the differences between different frequency domains transform. Here we get to see that wavelet already shows its advantages from the three dimensional view it from as a result. This help us to see the whole signal clearer. The ability to analyze by rotating the signal makes it even easier for data analysis.
format Resource Types::text::Thesis
author Kamalesh A/L Nadaraju
author_facet Kamalesh A/L Nadaraju
author_sort Kamalesh A/L Nadaraju
title Characterization of acoustic emission signal using wavelet transform
title_short Characterization of acoustic emission signal using wavelet transform
title_full Characterization of acoustic emission signal using wavelet transform
title_fullStr Characterization of acoustic emission signal using wavelet transform
title_full_unstemmed Characterization of acoustic emission signal using wavelet transform
title_sort characterization of acoustic emission signal using wavelet transform
publishDate 2023
_version_ 1806425697127759872
score 13.211869