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Solar Cell Fault Monitoring Using Image Processing Approach

FYP 2 SEM 2 2019/2020

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Main Author: Fiona Sharon Hilary
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Language:English
Published: 2023
Subjects:
fault monitoring
solar panel
monitoring
image processing
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id my.uniten.dspace-21218
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spelling my.uniten.dspace-212182023-05-05T12:06:38Z Solar Cell Fault Monitoring Using Image Processing Approach Fiona Sharon Hilary fault monitoring solar panel monitoring image processing FYP 2 SEM 2 2019/2020 As we all know that solar energy is widely used worldwide as one of the green alternative energy after the wind energy and hydro energy. From the knowledge of photovoltaic (PV) system that we know which produces energy and the underlying dependencies, it is possible to reason about fault. Solar panel is known to have a lifespan of 20-25 years and it is not said that after the lifespan the solar panel is not functioning but the efficiency of the power been absorbing by the solar panel is decreasing to 80% therefore this is why we make the study of fault monitoring in order to save the 20% efficiency being lose while increase the lifespan of the solar panel by detecting the early stage of faulty on the solar panel surface. The aim of this thesis is to investigate the current techniques used for detecting faulty to solar panel. Besides that, classify the types of fault using artificial intelligent techniques is also one of the objective of this study. Thus, collecting data from solar farms with faulty and normal condition solar panel for clear view of the real solar panel fault. A lot of consideration to need to be aware such as the types of solar panel use, type of faulty and also type of faulty monitoring that had in the market. At the end of this project, the goal is to study the solar panel fault monitoring using image processing approach through matlab software. 2023-05-03T16:15:58Z 2023-05-03T16:15:58Z 2020-02 https://irepository.uniten.edu.my/handle/123456789/21218 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 fault monitoring
solar panel
monitoring
image processing
spellingShingle fault monitoring
solar panel
monitoring
image processing
Fiona Sharon Hilary
Solar Cell Fault Monitoring Using Image Processing Approach
description FYP 2 SEM 2 2019/2020
format
author Fiona Sharon Hilary
author_facet Fiona Sharon Hilary
author_sort Fiona Sharon Hilary
title Solar Cell Fault Monitoring Using Image Processing Approach
title_short Solar Cell Fault Monitoring Using Image Processing Approach
title_full Solar Cell Fault Monitoring Using Image Processing Approach
title_fullStr Solar Cell Fault Monitoring Using Image Processing Approach
title_full_unstemmed Solar Cell Fault Monitoring Using Image Processing Approach
title_sort solar cell fault monitoring using image processing approach
publishDate 2023
_version_ 1806428121889505280
score 13.222552

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