Fuzzy logic approach for transformer remnant life prediction and asset management decision

The quality of insulation system within power transformer reflects the overall health condition of the asset. A timely and reliable maintenance decision along with the remaining operational life estimation of the asset can be identified through the measurements of some parameters reflecting the degr...

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Bibliographic Details
Main Authors: Bakar, N., Abu-Siada, Ahmed
Format: Journal Article
Published: Institute of Electrical and Electronics Engineers 2016
Online Access:http://hdl.handle.net/20.500.11937/50717
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author Bakar, N.
Abu-Siada, Ahmed
author_facet Bakar, N.
Abu-Siada, Ahmed
author_sort Bakar, N.
building Curtin Institutional Repository
collection Online Access
description The quality of insulation system within power transformer reflects the overall health condition of the asset. A timely and reliable maintenance decision along with the remaining operational life estimation of the asset can be identified through the measurements of some parameters reflecting the degradation rate of the transformer dielectric insulation. However, the process is not always straightforward due to the complexity of the insulation structure and degradation process. This paper proposes a new fuzzy logic approach to provide a proper asset management decision and predict the remaining operational life of a power transformer based on some insulating oil tests. The developed fuzzy logic model is validated through field data collected for various transformers of preknown health condition and life span. Results show that the proposed model is reliable and can be facilitated to provide a timely asset management decision with less reliance on expert personnel.
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institution Curtin University Malaysia
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last_indexed 2025-11-14T09:45:21Z
publishDate 2016
publisher Institute of Electrical and Electronics Engineers
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spelling curtin-20.500.11937-507172017-09-13T15:37:43Z Fuzzy logic approach for transformer remnant life prediction and asset management decision Bakar, N. Abu-Siada, Ahmed The quality of insulation system within power transformer reflects the overall health condition of the asset. A timely and reliable maintenance decision along with the remaining operational life estimation of the asset can be identified through the measurements of some parameters reflecting the degradation rate of the transformer dielectric insulation. However, the process is not always straightforward due to the complexity of the insulation structure and degradation process. This paper proposes a new fuzzy logic approach to provide a proper asset management decision and predict the remaining operational life of a power transformer based on some insulating oil tests. The developed fuzzy logic model is validated through field data collected for various transformers of preknown health condition and life span. Results show that the proposed model is reliable and can be facilitated to provide a timely asset management decision with less reliance on expert personnel. 2016 Journal Article http://hdl.handle.net/20.500.11937/50717 10.1109/TDEI.2016.005936 Institute of Electrical and Electronics Engineers restricted
spellingShingle Bakar, N.
Abu-Siada, Ahmed
Fuzzy logic approach for transformer remnant life prediction and asset management decision
title Fuzzy logic approach for transformer remnant life prediction and asset management decision
title_full Fuzzy logic approach for transformer remnant life prediction and asset management decision
title_fullStr Fuzzy logic approach for transformer remnant life prediction and asset management decision
title_full_unstemmed Fuzzy logic approach for transformer remnant life prediction and asset management decision
title_short Fuzzy logic approach for transformer remnant life prediction and asset management decision
title_sort fuzzy logic approach for transformer remnant life prediction and asset management decision
url http://hdl.handle.net/20.500.11937/50717