Detection of transformer winding fault using Frequency Response Analysis (FRA) / Nurul Atikah Saeidi

Transformer is the important equipment in order to step up or step down the current or voltage. Besides that, transformer is specified to withstand the mechanical forces from both transportation and in-service events like faults and lightning. Due to its function, it is a must to take a good care or...

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Bibliographic Details
Main Author:	Saeidi, Nurul Atikah
Format:	Thesis
Language:	English
Published:	2013
Subjects:	TJ Mechanical engineering and machinery Electric lighting
Online Access:	https://ir.uitm.edu.my/id/eprint/84630/1/84630.pdf
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id	my-uitm-ir.84630
record_format	uketd_dc
spelling	my-uitm-ir.846302024-04-23T02:34:50Z Detection of transformer winding fault using Frequency Response Analysis (FRA) / Nurul Atikah Saeidi 2013 Saeidi, Nurul Atikah TJ Mechanical engineering and machinery Electric lighting Transformer is the important equipment in order to step up or step down the current or voltage. Besides that, transformer is specified to withstand the mechanical forces from both transportation and in-service events like faults and lightning. Due to its function, it is a must to take a good care or concern about its condition for long lifetime. In order to avoid it from breakdown or do not function properly, transformer need to be examined. This paper presents a method for detection of the transformer winding fault. Analysis was made on healthy and unhealthy transformer by visualization and cross correlation coefficient using Frequency Response Analysis (FRA). From the shape of waveform and value of cross correlation, the condition of the transformer will be determined. By using MATLAB software, the shape of the waveform based on the given data has been plotted. Also, the value of cross correlation has been obtained by using Microsoft EXCEL. 2013 Thesis https://ir.uitm.edu.my/id/eprint/84630/ https://ir.uitm.edu.my/id/eprint/84630/1/84630.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Wan Abdul Munim, Wan Noraishah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Wan Abdul Munim, Wan Noraishah
topic	TJ Mechanical engineering and machinery Electric lighting
spellingShingle	TJ Mechanical engineering and machinery Electric lighting Saeidi, Nurul Atikah Detection of transformer winding fault using Frequency Response Analysis (FRA) / Nurul Atikah Saeidi
description	Transformer is the important equipment in order to step up or step down the current or voltage. Besides that, transformer is specified to withstand the mechanical forces from both transportation and in-service events like faults and lightning. Due to its function, it is a must to take a good care or concern about its condition for long lifetime. In order to avoid it from breakdown or do not function properly, transformer need to be examined. This paper presents a method for detection of the transformer winding fault. Analysis was made on healthy and unhealthy transformer by visualization and cross correlation coefficient using Frequency Response Analysis (FRA). From the shape of waveform and value of cross correlation, the condition of the transformer will be determined. By using MATLAB software, the shape of the waveform based on the given data has been plotted. Also, the value of cross correlation has been obtained by using Microsoft EXCEL.
format	Thesis
qualification_level	Bachelor degree
author	Saeidi, Nurul Atikah
author_facet	Saeidi, Nurul Atikah
author_sort	Saeidi, Nurul Atikah
title	Detection of transformer winding fault using Frequency Response Analysis (FRA) / Nurul Atikah Saeidi
title_short	Detection of transformer winding fault using Frequency Response Analysis (FRA) / Nurul Atikah Saeidi
title_full	Detection of transformer winding fault using Frequency Response Analysis (FRA) / Nurul Atikah Saeidi
title_fullStr	Detection of transformer winding fault using Frequency Response Analysis (FRA) / Nurul Atikah Saeidi
title_full_unstemmed	Detection of transformer winding fault using Frequency Response Analysis (FRA) / Nurul Atikah Saeidi
title_sort	detection of transformer winding fault using frequency response analysis (fra) / nurul atikah saeidi
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/84630/1/84630.pdf
_version_	1804889730090795008

Detection of transformer winding fault using Frequency Response Analysis (FRA) / Nurul Atikah Saeidi

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