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Correlation of partial discharge occurrence in power transformer by using self organizing map, acoustic partial discharge and DGA

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dc.citedby0
dc.contributor.authorSamsudinl R.en_US
dc.contributor.authorSk T.en_US
dc.contributor.authorRamli A.Q.en_US
dc.contributor.authorid35410298500en_US
dc.contributor.authorid36807107000en_US
dc.contributor.authorid35779000400en_US
dc.date.accessioned2023-12-29T07:55:04Z
dc.date.available2023-12-29T07:55:04Z
dc.date.issued2009
dc.description.abstractPower transformer consists of components which are under consistent thermal and electrical stresses. The major component which degrades under these stresses is the paper insulation of power transformer. The degradation is accelerated by the existence of partial discharge in the transformer. The partial discharge activity in the transformer will generate gasses such as Hydrogen (H 2) and Methane (CH 4). According to IEC 60599, hydrogen may be produced by other ways than PD itself. The current predictive maintenance methodology practiced by utility that could detect partia discharge in the transformer is the dissolved gas analysis (DGA). Hydrogen is the main gas used for decision making process. In this project, acoustic partial discharge measurement technique was used together with the monthly generation rates of hydrogen and methane in proportion to Total Dissolved Combustible Gas (TDCG) method was used to identify the PD occurrence in power transformer. In this paper, a field testing was done on 120 transformers to verify the proposed method by using classification tool such as Self Organizing Map (SOM). The monthly generation rates of hydrogen and methane in proportion to TDCG method serves as useful information in identifying the partial discharge occurrence in power transformer. The correlation between the monthly generation rates of hydrogen and methane in proportion to TDCG and PD activities has been established by using SOM. As a result, the SOM gave two regions which represents the "with PD" and "no PD" region. This result has been confirmed by doing acoustic PD measurements. � 2009 WASET.ORG.en_US
dc.description.natureFinalen_US
dc.identifier.epage1244
dc.identifier.scopus2-s2.0-78651564811
dc.identifier.spage1239
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-78651564811&partnerID=40&md5=365b886e7d1d23dc204a15c411aeb58e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30872
dc.identifier.volume38
dc.pagecount5
dc.sourceScopus
dc.sourcetitleWorld Academy of Science, Engineering and Technology
dc.subjectDissolved Gas Analysis
dc.subjectGas Rates
dc.subjectHydrogen
dc.subjectPartial Discharge
dc.subjectTotal Dissolved Combustible Gas
dc.subjectAcoustics
dc.subjectDischarge (fluid mechanics)
dc.subjectDissolution
dc.subjectElectric instrument transformers
dc.subjectElectric transformer insulation
dc.subjectElectric transformer testing
dc.subjectGas chromatography
dc.subjectGases
dc.subjectHydrogen
dc.subjectHydrogen production
dc.subjectMethane
dc.subjectPower transformers
dc.subjectSelf organizing maps
dc.subjectStrength of materials
dc.subjectTransformer substations
dc.subjectAcoustic PD measurements
dc.subjectClassification tool
dc.subjectCombustible gas
dc.subjectDecision making process
dc.subjectDissolved Gas Analysis
dc.subjectElectrical stress
dc.subjectField testing
dc.subjectGas Rates
dc.subjectGeneration rate
dc.subjectPaper insulation
dc.subjectPartial discharge activity
dc.subjectPartial discharge measurements
dc.subjectPredictive maintenance
dc.subjectTotal Dissolved Combustible Gas
dc.subjectPartial discharges
dc.titleCorrelation of partial discharge occurrence in power transformer by using self organizing map, acoustic partial discharge and DGAen_US
dc.typeArticleen_US
dspace.entity.typePublication
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