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Characterization of acoustic emission signal using wavelet transform

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dc.contributor.affiliationen_US
dc.contributor.authorKamalesh A/L Nadarajuen_US
dc.date.accessioned2023-05-03T15:29:51Z
dc.date.available2023-05-03T15:29:51Z
dc.date.issued2012
dc.description.abstractThis 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.en_US
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/20875
dc.language.isoenen_US
dc.subjectElectric dischargesen_US
dc.subjectAcoustic emission testingen_US
dc.subjectWavelets (Mathematics)en_US
dc.titleCharacterization of acoustic emission signal using wavelet transformen_US
dc.typeResource Types::text::Thesisen_US
dspace.entity.typePublication
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