A comparison analysis of voltage sag and transient using short time fourier transform, wavelet and S-Transform / Fifi Natasya Shaari

This thesis presents a comparison of technique in extracting the features for voltage sag and transients in distribution systems using Short Time Fourier Transform (STFT), Wavelet Transform and S-Transform. Different data of voltage sag and transient are taken from Tenaga Nasional Berhad Distributio...

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Main Author: Shaari, Fifi Natasya
Format: Thesis
Language:English
Published: 2014
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/78126/1/78126.pdf
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spelling my-uitm-ir.781262024-05-17T08:56:26Z A comparison analysis of voltage sag and transient using short time fourier transform, wavelet and S-Transform / Fifi Natasya Shaari 2014 Shaari, Fifi Natasya Electric power distribution. Electric power transmission This thesis presents a comparison of technique in extracting the features for voltage sag and transients in distribution systems using Short Time Fourier Transform (STFT), Wavelet Transform and S-Transform. Different data of voltage sag and transient are taken from Tenaga Nasional Berhad Distribution (TNB) Malaysia. This data is further analyze using the Matlab. The study features involves specifically in non-stationary signals. Previous tools like Fourier Transform have only frequency resolution resulting a lower level of effectiveness to the disturbance detection procedure. Therefore, a comparison is made between those recent techniques to investigate which techniques can identify the problems interactively when large datasets are applied. 2014 Thesis https://ir.uitm.edu.my/id/eprint/78126/ https://ir.uitm.edu.my/id/eprint/78126/1/78126.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abidin, Ahmad Farid
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Abidin, Ahmad Farid
topic Electric power distribution
Electric power transmission
spellingShingle Electric power distribution
Electric power transmission
Shaari, Fifi Natasya
A comparison analysis of voltage sag and transient using short time fourier transform, wavelet and S-Transform / Fifi Natasya Shaari
description This thesis presents a comparison of technique in extracting the features for voltage sag and transients in distribution systems using Short Time Fourier Transform (STFT), Wavelet Transform and S-Transform. Different data of voltage sag and transient are taken from Tenaga Nasional Berhad Distribution (TNB) Malaysia. This data is further analyze using the Matlab. The study features involves specifically in non-stationary signals. Previous tools like Fourier Transform have only frequency resolution resulting a lower level of effectiveness to the disturbance detection procedure. Therefore, a comparison is made between those recent techniques to investigate which techniques can identify the problems interactively when large datasets are applied.
format Thesis
qualification_level Bachelor degree
author Shaari, Fifi Natasya
author_facet Shaari, Fifi Natasya
author_sort Shaari, Fifi Natasya
title A comparison analysis of voltage sag and transient using short time fourier transform, wavelet and S-Transform / Fifi Natasya Shaari
title_short A comparison analysis of voltage sag and transient using short time fourier transform, wavelet and S-Transform / Fifi Natasya Shaari
title_full A comparison analysis of voltage sag and transient using short time fourier transform, wavelet and S-Transform / Fifi Natasya Shaari
title_fullStr A comparison analysis of voltage sag and transient using short time fourier transform, wavelet and S-Transform / Fifi Natasya Shaari
title_full_unstemmed A comparison analysis of voltage sag and transient using short time fourier transform, wavelet and S-Transform / Fifi Natasya Shaari
title_sort comparison analysis of voltage sag and transient using short time fourier transform, wavelet and s-transform / fifi natasya shaari
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2014
url https://ir.uitm.edu.my/id/eprint/78126/1/78126.pdf
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