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Modeling of various meteorological effects on contamination level for suspension type of high voltage insulators using ANN

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dc.citedby21
dc.contributor.authorAhmad A.S.en_US
dc.contributor.authorGhosh P.S.en_US
dc.contributor.authorAljunid S.A.K.en_US
dc.contributor.authorAhmad H.en_US
dc.contributor.authorid7202040740en_US
dc.contributor.authorid55427760300en_US
dc.contributor.authorid37113819900en_US
dc.contributor.authorid7102866725en_US
dc.date.accessioned2023-12-28T08:58:06Z
dc.date.available2023-12-28T08:58:06Z
dc.date.issued2002
dc.description.abstractThe performance of polluted insulators Is very much dependent on the degree of contamination. For the high voltage Insulators to be installed In areas especially near the coast, determination of the contamination level becomes the major task to design the insulators appropriately. The aim of this paper is to obtain accurate information about the degree of contamination which the high voltage insulators are exposed to when they are installed In coastal areas. Regression technique has been used successfully in estimating the level of contamination on high voltage insulators surfaces in terms of Equivalent Salt Deposit Density (ESDD). This paper has also used artificial neural network algorithm to model ESDD as a function of various meteorological parameters. A comparative analysis has also been carried out between the two methods in this work.en_US
dc.description.natureFinalen_US
dc.identifier.epage1035
dc.identifier.issueASIA PACIFIC
dc.identifier.scopus2-s2.0-0038647121
dc.identifier.spage1030
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0038647121&partnerID=40&md5=ee9586d1d44bfaa417a99cd87fef111b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29893
dc.identifier.volume2
dc.pagecount5
dc.sourceScopus
dc.sourcetitleProceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
dc.subjectANN
dc.subjectContamination
dc.subjectESDD
dc.subjectHigh voltage
dc.subjectInsulators
dc.subjectRegression analysis
dc.subjectAlgorithms
dc.subjectContamination
dc.subjectElectric potential
dc.subjectMeteorology
dc.subjectNeural networks
dc.subjectRegression analysis
dc.subjectHigh voltage insulators
dc.subjectElectric insulators
dc.titleModeling of various meteorological effects on contamination level for suspension type of high voltage insulators using ANNen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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