Publication:
Age Estimation of Cellulose Paper Insulation in Power Transformers Using ANN

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dc.citedby7
dc.contributor.authorNavamany J.S.en_US
dc.contributor.authorGhosh P.S.en_US
dc.contributor.authorid6506106930en_US
dc.contributor.authorid55427760300en_US
dc.date.accessioned2023-12-28T08:58:13Z
dc.date.available2023-12-28T08:58:13Z
dc.date.issued2003
dc.description.abstractThe 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.en_US
dc.description.natureFinalen_US
dc.identifier.epage281
dc.identifier.scopus2-s2.0-1542747977
dc.identifier.spage277
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-1542747977&partnerID=40&md5=80f68323120ff3827c5a115bac7af7da
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29913
dc.pagecount4
dc.sourceScopus
dc.sourcetitleElectrical Insulation Conference and Electrical Manufacturing and Coil Winding Conference and Exhibition
dc.subjectAlgorithms
dc.subjectCellulose
dc.subjectCorrelation methods
dc.subjectData acquisition
dc.subjectDegradation
dc.subjectInsulation
dc.subjectLearning systems
dc.subjectMathematical models
dc.subjectNeural networks
dc.subjectService life
dc.subjectAge estimation
dc.subjectCellulose paper estimation
dc.subjectDissolved gas analysis (DGA)
dc.subjectElectric transformers
dc.titleAge Estimation of Cellulose Paper Insulation in Power Transformers Using ANNen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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