Publication:
Modelling of various meteorological effects on leakage current level for suspension type of high voltage insulators using HMLP neural network

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dc.citedby3
dc.contributor.authorDahlan N.Y.en_US
dc.contributor.authorKasuan N.en_US
dc.contributor.authorAhmad A.S.en_US
dc.contributor.authorid24483200900en_US
dc.contributor.authorid35423888200en_US
dc.contributor.authorid7202040740en_US
dc.date.accessioned2023-12-29T07:50:45Z
dc.date.available2023-12-29T07:50:45Z
dc.date.issued2009
dc.description.abstractElectrical power system lines sometimes pass along the coastal regions and transverse through the industrial areas of the Peninsular Malaysia. The phenomenon of salt blown from the sea to the land at the coastal area was causing salt deposition to the transformer bushing which contaminating the bushing surfaces and produced leakage current. Hence, it triggering to insulator flashover and finally the hot power arc will damage the bushing. This paper estimates leakage current level by modeling it as a function of various meteorological parameters using Hybrid Multilayered Perceptron Networks (HMLP) with Modified Recursive Prediction Error (MRPE) learning algorithms. The results are also compared with the regression analysis done previously. Meteorological parameters and leakage current data are based on the real measured data collected at YTL Paka Power Station in Terengganu. � 2009 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo5356498
dc.identifier.doi10.1109/ISIEA.2009.5356498
dc.identifier.epage40
dc.identifier.scopus2-s2.0-76449086772
dc.identifier.spage35
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-76449086772&doi=10.1109%2fISIEA.2009.5356498&partnerID=40&md5=af7b0c4312ef0afffb4b3990d7ea6d47
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30643
dc.identifier.volume1
dc.pagecount5
dc.sourceScopus
dc.sourcetitle2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings
dc.subjectANN
dc.subjectHMLP
dc.subjectInsulators
dc.subjectLeakage current
dc.subjectMRPE
dc.subjectRegression analysis
dc.subjectBushings
dc.subjectCoastal zones
dc.subjectIndustrial electronics
dc.subjectLeakage currents
dc.subjectMetal analysis
dc.subjectNeural networks
dc.subjectRegression analysis
dc.subjectStatistics
dc.subjectANN
dc.subjectCoastal area
dc.subjectCoastal regions
dc.subjectElectrical power system
dc.subjectHigh voltage insulators
dc.subjectHMLP
dc.subjectHybrid multilayered perceptron network
dc.subjectIndustrial area
dc.subjectInsulator flashover
dc.subjectMalaysia
dc.subjectMeteorological effects
dc.subjectMeteorological parameters
dc.subjectPower station
dc.subjectReal measured data
dc.subjectRecursive prediction
dc.subjectSalt deposition
dc.subjectSuspension types
dc.subjectTransformer bushings
dc.subjectLearning algorithms
dc.titleModelling of various meteorological effects on leakage current level for suspension type of high voltage insulators using HMLP neural networken_US
dc.typeConference paperen_US
dspace.entity.typePublication
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