Publication:
Evaluation of transformer core and winding conditions from SFRA measurement results using statistical techniques for distribution transformers

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dc.citedby12
dc.contributor.authorAb Ghani S.en_US
dc.contributor.authorThayoob Y.H.Md.en_US
dc.contributor.authorGhazali Y.Z.Y.en_US
dc.contributor.authorKhiar M.S.A.en_US
dc.contributor.authorChairul I.S.en_US
dc.contributor.authorid56504019900en_US
dc.contributor.authorid6505876050en_US
dc.contributor.authorid55336569600en_US
dc.contributor.authorid55336341600en_US
dc.contributor.authorid55336864500en_US
dc.date.accessioned2023-12-29T07:46:12Z
dc.date.available2023-12-29T07:46:12Z
dc.date.issued2012
dc.description.abstractDistribution transformers in TNB (Tenaga Nasional Berhad) Malaysia are exposed to thermal and electrical stresses. Those stresses are effecting the main mechanical active parts in transformer such as core and winding. In field, lightning strikes and cable faults may cause problem due to transformer core and winding. SFRA diagnosis is made based on the comparison between two SFRA responses and any significant difference in low, middle and high frequency sub-bands region would potentially indicate mechanical or electrical problem due to core and winding of transformer. Instead of using graphical comparison, statistical techniques such as Cross-correlation Coefficient Function (CCF), Standard Deviation (SD) and Absolute Sum of Logarithmic Error (ASLE) can be used to interpret the SFRA results in a proper way. The aim of this paper is to evaluate the condition of TNB distribution transformer by using SFRA method in line with the interpretation from the statistical techniques. � 2012 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6230906
dc.identifier.doi10.1109/PEOCO.2012.6230906
dc.identifier.epage453
dc.identifier.scopus2-s2.0-84864995349
dc.identifier.spage448
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84864995349&doi=10.1109%2fPEOCO.2012.6230906&partnerID=40&md5=dc59e8f46b42a4ed5c8db3eda49b373e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30275
dc.pagecount5
dc.sourceScopus
dc.sourcetitle2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings
dc.subjectCorrelation Coefficient
dc.subjectFRA
dc.subjectStandard Deviation
dc.subjectStatistics
dc.subjectTransformer
dc.subjectElectric transformers
dc.subjectOptimization
dc.subjectStatistics
dc.subjectStresses
dc.subjectActive parts
dc.subjectCable fault
dc.subjectCore and windings
dc.subjectCorrelation coefficient
dc.subjectCross-correlation coefficient
dc.subjectDistribution transformer
dc.subjectElectrical problems
dc.subjectElectrical stress
dc.subjectFRA
dc.subjectGraphical comparison
dc.subjectHigh frequency
dc.subjectIn-field
dc.subjectIn-line
dc.subjectLightning strikes
dc.subjectMalaysia
dc.subjectMeasurement results
dc.subjectStandard deviation
dc.subjectStatistical techniques
dc.subjectTransformer
dc.subjectTransformer core
dc.subjectWinding
dc.titleEvaluation of transformer core and winding conditions from SFRA measurement results using statistical techniques for distribution transformersen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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