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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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 |
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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 |
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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 |
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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. |
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6506106930 |
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6506106930 Navamany J.S. Ghosh P.S. |
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Conference Paper |
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Navamany J.S. Ghosh P.S. |
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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 |
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1806425597350510592 |
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13.211869 |