Classification of partial discharge using combination of acoustic emission detection and S-transform analysis / Mohd Hakim Shahbudin

Partial Discharge (PD) is an electrical phenomenon which causes insulation to deteriorate and frequently is the reason for breakdown of an insulation system resulting in failure of the equipment. This project is conducted in order to identify a detected partial discharged using non-contact type of a...

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Main Author:	Shahbudin, Mohd Hakim
Format:	Thesis
Language:	English
Published:	2013
Online Access:	https://ir.uitm.edu.my/id/eprint/84509/1/84509.pdf
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id	my-uitm-ir.84509
record_format	uketd_dc
spelling	my-uitm-ir.845092024-02-29T16:22:26Z Classification of partial discharge using combination of acoustic emission detection and S-transform analysis / Mohd Hakim Shahbudin 2013 Shahbudin, Mohd Hakim Partial Discharge (PD) is an electrical phenomenon which causes insulation to deteriorate and frequently is the reason for breakdown of an insulation system resulting in failure of the equipment. This project is conducted in order to identify a detected partial discharged using non-contact type of acoustic measurement. This study will be performed with laboratory experimental work in order to validate the experimental data. With the aid of an ultrasonic probe as detecting device, the ultrasonic signal is recorded and the data will be analysed in personal computer (PC) with the aid of MATLAB software. The recorded time-domain signal is then transformed into frequency-domain by using the S-Transform (ST) analysis. This study is to detect the acoustic PD and classify the pattern of ultrasonic sound emitted. 2013 Thesis https://ir.uitm.edu.my/id/eprint/84509/ https://ir.uitm.edu.my/id/eprint/84509/1/84509.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
description	Partial Discharge (PD) is an electrical phenomenon which causes insulation to deteriorate and frequently is the reason for breakdown of an insulation system resulting in failure of the equipment. This project is conducted in order to identify a detected partial discharged using non-contact type of acoustic measurement. This study will be performed with laboratory experimental work in order to validate the experimental data. With the aid of an ultrasonic probe as detecting device, the ultrasonic signal is recorded and the data will be analysed in personal computer (PC) with the aid of MATLAB software. The recorded time-domain signal is then transformed into frequency-domain by using the S-Transform (ST) analysis. This study is to detect the acoustic PD and classify the pattern of ultrasonic sound emitted.
format	Thesis
qualification_level	Bachelor degree
author	Shahbudin, Mohd Hakim
spellingShingle	Shahbudin, Mohd Hakim Classification of partial discharge using combination of acoustic emission detection and S-transform analysis / Mohd Hakim Shahbudin
author_facet	Shahbudin, Mohd Hakim
author_sort	Shahbudin, Mohd Hakim
title	Classification of partial discharge using combination of acoustic emission detection and S-transform analysis / Mohd Hakim Shahbudin
title_short	Classification of partial discharge using combination of acoustic emission detection and S-transform analysis / Mohd Hakim Shahbudin
title_full	Classification of partial discharge using combination of acoustic emission detection and S-transform analysis / Mohd Hakim Shahbudin
title_fullStr	Classification of partial discharge using combination of acoustic emission detection and S-transform analysis / Mohd Hakim Shahbudin
title_full_unstemmed	Classification of partial discharge using combination of acoustic emission detection and S-transform analysis / Mohd Hakim Shahbudin
title_sort	classification of partial discharge using combination of acoustic emission detection and s-transform analysis / mohd hakim shahbudin
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/84509/1/84509.pdf
_version_	1794192011411062784

Classification of partial discharge using combination of acoustic emission detection and S-transform analysis / Mohd Hakim Shahbudin

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