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Assessment of ESDD on high-voltage insulators using artificial neural network

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dc.citedby44
dc.contributor.authorAhmad A.S.en_US
dc.contributor.authorGhosh P.S.en_US
dc.contributor.authorShahnawaz Ahmed S.en_US
dc.contributor.authorAljunid S.A.K.en_US
dc.contributor.authorid7202040740en_US
dc.contributor.authorid55427760300en_US
dc.contributor.authorid57193735776en_US
dc.contributor.authorid56025382500en_US
dc.date.accessioned2023-12-28T08:58:02Z
dc.date.available2023-12-28T08:58:02Z
dc.date.issued2004
dc.description.abstractThe environmental and weather conditions cause flashover on polluted insulators leading to outages in a power system. It is generally recognized that the main causes leading to the contamination of insulators are marine pollution as found in the immediate neighborhood of the coastal regions, and solid pollution as found in the dense industrial areas. This research is directed towards the study of contamination of insulator under marine pollution. The effects of various meteorological factors on the pollution severity have been investigated thoroughly. A new approach using ANN as a function estimator has been developed and used to model accurately the relationship between ESDD with temperature (T), humidity (H), pressure (P), rainfall (R), and wind velocity (WV). The ANN-predicted ESDDs have been compared with the measured ones for a practical system. � 2004 Elsevier B.V. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.epsr.2004.03.009
dc.identifier.epage136
dc.identifier.issue2
dc.identifier.scopus2-s2.0-4444288431
dc.identifier.spage131
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-4444288431&doi=10.1016%2fj.epsr.2004.03.009&partnerID=40&md5=4a2de8b7aa8255e7079229963dd22100
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29877
dc.identifier.volume72
dc.pagecount5
dc.sourceScopus
dc.sourcetitleElectric Power Systems Research
dc.subjectAtmospheric humidity
dc.subjectElectric insulators
dc.subjectElectric potential
dc.subjectElectric power systems
dc.subjectLeakage currents
dc.subjectNeural networks
dc.subjectRain
dc.subjectSwitching
dc.subjectWater pollution
dc.subjectEconomic transfers
dc.subjectEquivalent salt deposit density (ESDD)
dc.subjectHigh voltage insulators
dc.subjectWind velocity
dc.subjectSalt deposits
dc.titleAssessment of ESDD on high-voltage insulators using artificial neural networken_US
dc.typeArticleen_US
dspace.entity.typePublication
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