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Determination of transformer health index for maintenance optimization

The power transformer is the most expensive equipment in the substation. Asset management is one of the important aspects of ensuring reliable service to the customers. Most power utilities are highly motivated to assess the actual condition of their transformers because there is an increasing deman...

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Main Author: Amir Arsyad Bin Azmi
Format: text::Final Year Project
Language:English US
Published: 2023
Subjects:
Electric transformer
Neural networks (Computer science)
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id my.uniten.dspace-27533
record_format dspace
spelling my.uniten.dspace-275332023-07-09T02:03:44Z Determination of transformer health index for maintenance optimization Amir Arsyad Bin Azmi Electric transformer Neural networks (Computer science) The power transformer is the most expensive equipment in the substation. Asset management is one of the important aspects of ensuring reliable service to the customers. Most power utilities are highly motivated to assess the actual condition of their transformers because there is an increasing demand for improved financial and technical performance. To achieve the optimal balance among capital investments, asset maintenance costs, and operating performance, there is a need to provide economic and technical justifications for engineering decisions and capital replacement plans. Health index (HI) represent a practical method to quantify the results of operating observations, field inspections, and site and laboratory testing into an objective and quantitative index, providing the overall health of the assets. 2023-07-03T01:16:25Z 2023-07-03T01:16:25Z 2018 Resource Types::text::Final Year Project https://irepository.uniten.edu.my/handle/123456789/27533 en_US 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 US
topic Electric transformer
Neural networks (Computer science)
spellingShingle Electric transformer
Neural networks (Computer science)
Amir Arsyad Bin Azmi
Determination of transformer health index for maintenance optimization
description The power transformer is the most expensive equipment in the substation. Asset management is one of the important aspects of ensuring reliable service to the customers. Most power utilities are highly motivated to assess the actual condition of their transformers because there is an increasing demand for improved financial and technical performance. To achieve the optimal balance among capital investments, asset maintenance costs, and operating performance, there is a need to provide economic and technical justifications for engineering decisions and capital replacement plans. Health index (HI) represent a practical method to quantify the results of operating observations, field inspections, and site and laboratory testing into an objective and quantitative index, providing the overall health of the assets.
format Resource Types::text::Final Year Project
author Amir Arsyad Bin Azmi
author_facet Amir Arsyad Bin Azmi
author_sort Amir Arsyad Bin Azmi
title Determination of transformer health index for maintenance optimization
title_short Determination of transformer health index for maintenance optimization
title_full Determination of transformer health index for maintenance optimization
title_fullStr Determination of transformer health index for maintenance optimization
title_full_unstemmed Determination of transformer health index for maintenance optimization
title_sort determination of transformer health index for maintenance optimization
publishDate 2023
_version_ 1806426079433326592
score 13.222552

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