Publication:
Investigation of partial discharge characteristics in XLPE cable insulation under increasing electrical stress

Simple item page
dc.citedby7
dc.contributor.authorChoudhary M.en_US
dc.contributor.authorShafiq M.en_US
dc.contributor.authorKiitam I.en_US
dc.contributor.authorPalu I.en_US
dc.contributor.authorHassan W.en_US
dc.contributor.authorSingh P.P.en_US
dc.contributor.authorid57706366700en_US
dc.contributor.authorid56984295900en_US
dc.contributor.authorid56888773400en_US
dc.contributor.authorid25654292000en_US
dc.contributor.authorid56038670200en_US
dc.contributor.authorid57339060100en_US
dc.date.accessioned2025-03-03T07:44:33Z
dc.date.available2025-03-03T07:44:33Z
dc.date.issued2024
dc.description.abstractInsulation degradation in power components is a looming issue that can have a significant impact on the reliability of power system if not attended timely. Partial discharge (PD) diagnostics is a key technique used for the condition monitoring and health assessment of insulation. Inception of PD is a primary indicator which shows degradation and decreased local dielectric strength of the insulation. PD magnitude can increase with time and level of stress, which may result in failure of insulation. This article investigates the behavior of PD characteristics in a medium voltage (MV) cross-linked polyethylene (XLPE) cable sample, containing a defect at the cable termination, under elevated electrical stresses. PD behavior is studied by investigating the key PD characteristics, such as partial discharge inception voltage (PDIV), phase of occurrence (?), mean amplitude (Vmean), pulse repetition rate (PRR), and phase span (?span). These quantities are extracted from a phase-resolved partial discharge (PRPD) pattern using a pulse detection algorithm. Later, these characteristics are analyzed in correlation with the electrical stress. Various regression models are implemented and compared to find the best fit model that represents trending attributes of major PD characteristics. The presented study can be used as an effective process to analyze the measured PD data for evaluation of the insulation condition in the power components. ? 2024 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo108006
dc.identifier.doi10.1016/j.engfailanal.2024.108006
dc.identifier.scopus2-s2.0-85183451355
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85183451355&doi=10.1016%2fj.engfailanal.2024.108006&partnerID=40&md5=05a141eede7d76e719c28775682adbf2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36770
dc.identifier.volume158
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleEngineering Failure Analysis
dc.subjectCable sheathing
dc.subjectCondition monitoring
dc.subjectElectric connectors
dc.subjectInsulation
dc.subjectPartial discharges
dc.subjectPattern recognition
dc.subjectPolyethylenes
dc.subjectPulse repetition rate
dc.subjectCable insulation
dc.subjectCondition monitoring assessment
dc.subjectElectrical stress
dc.subjectHealth assessments
dc.subjectInsulation degradation
dc.subjectPartial discharge characteristics
dc.subjectPartial discharge measurements
dc.subjectPower
dc.subjectPower components
dc.subjectXLPE cables
dc.subjectRegression analysis
dc.titleInvestigation of partial discharge characteristics in XLPE cable insulation under increasing electrical stressen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS