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Investigation on The Possibility of Using Image Segmentation Technique to Characterize an Electrical Arcing in Power Transformer Liquid

FYP 2 SEM 2 2019/2020

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Main Author: Yogenthiraprasad a/l Karnan
Format:
Language:English
Published: 2023
Subjects:
image segmentation
Electrical arcing
Transformer oil
monitoring
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id my.uniten.dspace-21212
record_format dspace
spelling my.uniten.dspace-212122023-05-05T04:33:13Z Investigation on The Possibility of Using Image Segmentation Technique to Characterize an Electrical Arcing in Power Transformer Liquid Yogenthiraprasad a/l Karnan image segmentation Electrical arcing Transformer oil monitoring FYP 2 SEM 2 2019/2020 The study of this project is to implement image segmentation technique in power transformer insulation oil for condition monitoring purpose. Image segmentation technique is cost-effective and will be more suitable as the program will be more particularized to mathematical processing of image. In this study, image segmentation technique is used to characterize the images of electrical bridge that is formed in power transformer insulation oil. Images will be processed, and measurement of parameters will be done to segmented image as to determine the condition of power transformer insulation oil. Image processing program is done with MATLAB and the output images are displayed in a graphical user interface (GUI) developed using MATLAB App Designer. 2023-05-03T16:14:59Z 2023-05-03T16:14:59Z 2020-02 https://irepository.uniten.edu.my/handle/123456789/21212 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 image segmentation
Electrical arcing
Transformer oil
monitoring
spellingShingle image segmentation
Electrical arcing
Transformer oil
monitoring
Yogenthiraprasad a/l Karnan
Investigation on The Possibility of Using Image Segmentation Technique to Characterize an Electrical Arcing in Power Transformer Liquid
description FYP 2 SEM 2 2019/2020
format
author Yogenthiraprasad a/l Karnan
author_facet Yogenthiraprasad a/l Karnan
author_sort Yogenthiraprasad a/l Karnan
title Investigation on The Possibility of Using Image Segmentation Technique to Characterize an Electrical Arcing in Power Transformer Liquid
title_short Investigation on The Possibility of Using Image Segmentation Technique to Characterize an Electrical Arcing in Power Transformer Liquid
title_full Investigation on The Possibility of Using Image Segmentation Technique to Characterize an Electrical Arcing in Power Transformer Liquid
title_fullStr Investigation on The Possibility of Using Image Segmentation Technique to Characterize an Electrical Arcing in Power Transformer Liquid
title_full_unstemmed Investigation on The Possibility of Using Image Segmentation Technique to Characterize an Electrical Arcing in Power Transformer Liquid
title_sort investigation on the possibility of using image segmentation technique to characterize an electrical arcing in power transformer liquid
publishDate 2023
_version_ 1806427543040950272
score 13.188404

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