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FEM and ANN based simulations to study the effect of electrical field distribution on water tree affected polymeric cables

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dc.citedby0
dc.contributor.authorSulaiman S.en_US
dc.contributor.authorAbidin I.Z.en_US
dc.contributor.authorid36562570400en_US
dc.contributor.authorid35606640500en_US
dc.date.accessioned2023-12-28T08:57:39Z
dc.date.available2023-12-28T08:57:39Z
dc.date.issued2006
dc.description.abstractEarlier researches have confirmed that polymeric cables suffer from serious water tree degradation under combined stresses of electrical, thermal and chemical, thus shortening the lifespan of the cables. This paper aims at proposing a methodology using Finite Element Method (FEM) and Artificial Neural Network (ANN) based simulations to estimate the effect and create a database of the electrical field distribution in water tree affected polymeric cables. The water tree lengths in the affected polymeric cables are varied to assess their effect on the level of the electrical field distribution. The permittivity values within the water tree structures are varied accordingly to the lengths measured in water tree growths. The electrical field distribution waveforms arising out of the variation in water tree growths are plotted using FEM software and the results are analysed. Analysis shows that the electrical field distribution levels increases exponentially with the rise in water tree lengths. The results are then translated into electrical field ratios and fed to an ANN simulation. The simulation attempts to create a database for water tree degraded cables with two (2) categories of training inputs i.e. permittivity and water tree length, and a target output of electrical field ratio. The error in the ANN simulation is then marginalised to an error value of less than 1% using the back-propagation method for optimisation of weights. � 2006 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo4154475
dc.identifier.doi10.1109/PECON.2006.346631
dc.identifier.epage122
dc.identifier.scopus2-s2.0-46249114026
dc.identifier.spage119
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-46249114026&doi=10.1109%2fPECON.2006.346631&partnerID=40&md5=edc64af153d366163de0135e59dcc1a7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29780
dc.pagecount3
dc.sourceScopus
dc.sourcetitleFirst International Power and Energy Conference, (PECon 2006) Proceedings
dc.subjectCable insulation
dc.subjectFinite element methods and neural networks
dc.subjectTrees (insulation)
dc.subjectBackpropagation
dc.subjectBioelectric phenomena
dc.subjectCables
dc.subjectDatabase systems
dc.subjectError analysis
dc.subjectFinite element method
dc.subjectMaterials science
dc.subjectNeural networks
dc.subjectNumerical analysis
dc.subjectPermittivity
dc.subjectPhotoacoustic effect
dc.subjectSulfate minerals
dc.subjectTrees (mathematics)
dc.subjectWater analysis
dc.subjectWire rope
dc.subjectArtificial neural network (ANNs)
dc.subjectBack propagation (BP)
dc.subjectCombined stresses
dc.subjectElectrical field distributions
dc.subjectElectrical fields
dc.subjectFinite element method (FEM)
dc.subjectFinite element method (FEM) software
dc.subjectInternational (CO)
dc.subjectLife spans
dc.subjectOptimisation
dc.subjectPermittivity values
dc.subjectPolymeric cables
dc.subjectWater treeing
dc.subjectWater-tree degradation
dc.subjectWaveforms
dc.subjectElectric network analysis
dc.titleFEM and ANN based simulations to study the effect of electrical field distribution on water tree affected polymeric cablesen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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