Age Estimation of Cellulose Paper Insulation in Power Transformers Using ANN

The useful functional life of a power transformer is determined by the life of the paper insulation. Therefore researches on cellulosic paper degradation in power transformers are primarily directed towards the development of a mathematical model to estimate the age of the cellulose paper insulation...

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Main Authors: Navamany J.S., Ghosh P.S.
Other Authors: 6506106930
Format: Conference Paper
Published: 2023
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spelling my.uniten.dspace-299132024-04-17T09:35:25Z Age Estimation of Cellulose Paper Insulation in Power Transformers Using ANN Navamany J.S. Ghosh P.S. 6506106930 55427760300 Algorithms Cellulose Correlation methods Data acquisition Degradation Insulation Learning systems Mathematical models Neural networks Service life Age estimation Cellulose paper estimation Dissolved gas analysis (DGA) Electric transformers The useful functional life of a power transformer is determined by the life of the paper insulation. Therefore researches on cellulosic paper degradation in power transformers are primarily directed towards the development of a mathematical model to estimate the age of the cellulose paper insulation based on the concentration of dissolved gases and furanic compounds. In this research work, a utility field study has been carried out on selected transmission power transformers with a wide range of ages. Samples of oil collected from the identified transformers were tested for concentration levels of CO and CO2 and furan derivatives 2-furfural. The results of the concentration of the above mentioned parameters clearly show that there is a dependence on age. Therefore, in this paper an attempt has been made to model the age(T) of the cellulose paper insulation in terms of the concentration of CO, CO2 and 2-furfural that T = f(CO, CO2, 2-furfural). The present modelling has been done using Artificial Neural Network(ANN). The estimated results using the proposed ANN model are further compared with the measured data collected during the field study and has shown a good correlation. Final 2023-12-28T08:58:13Z 2023-12-28T08:58:13Z 2003 Conference Paper 2-s2.0-1542747977 https://www.scopus.com/inward/record.uri?eid=2-s2.0-1542747977&partnerID=40&md5=80f68323120ff3827c5a115bac7af7da https://irepository.uniten.edu.my/handle/123456789/29913 277 281 Scopus
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/
topic Algorithms
Cellulose
Correlation methods
Data acquisition
Degradation
Insulation
Learning systems
Mathematical models
Neural networks
Service life
Age estimation
Cellulose paper estimation
Dissolved gas analysis (DGA)
Electric transformers
spellingShingle Algorithms
Cellulose
Correlation methods
Data acquisition
Degradation
Insulation
Learning systems
Mathematical models
Neural networks
Service life
Age estimation
Cellulose paper estimation
Dissolved gas analysis (DGA)
Electric transformers
Navamany J.S.
Ghosh P.S.
Age Estimation of Cellulose Paper Insulation in Power Transformers Using ANN
description The useful functional life of a power transformer is determined by the life of the paper insulation. Therefore researches on cellulosic paper degradation in power transformers are primarily directed towards the development of a mathematical model to estimate the age of the cellulose paper insulation based on the concentration of dissolved gases and furanic compounds. In this research work, a utility field study has been carried out on selected transmission power transformers with a wide range of ages. Samples of oil collected from the identified transformers were tested for concentration levels of CO and CO2 and furan derivatives 2-furfural. The results of the concentration of the above mentioned parameters clearly show that there is a dependence on age. Therefore, in this paper an attempt has been made to model the age(T) of the cellulose paper insulation in terms of the concentration of CO, CO2 and 2-furfural that T = f(CO, CO2, 2-furfural). The present modelling has been done using Artificial Neural Network(ANN). The estimated results using the proposed ANN model are further compared with the measured data collected during the field study and has shown a good correlation.
author2 6506106930
author_facet 6506106930
Navamany J.S.
Ghosh P.S.
format Conference Paper
author Navamany J.S.
Ghosh P.S.
author_sort Navamany J.S.
title Age Estimation of Cellulose Paper Insulation in Power Transformers Using ANN
title_short Age Estimation of Cellulose Paper Insulation in Power Transformers Using ANN
title_full Age Estimation of Cellulose Paper Insulation in Power Transformers Using ANN
title_fullStr Age Estimation of Cellulose Paper Insulation in Power Transformers Using ANN
title_full_unstemmed Age Estimation of Cellulose Paper Insulation in Power Transformers Using ANN
title_sort age estimation of cellulose paper insulation in power transformers using ann
publishDate 2023
_version_ 1806425597350510592
score 13.211869