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Partial Discharge Based Risk Assessment Framework for MV Switchgear Containing Electrical Defects

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dc.citedby3
dc.contributor.authorHussain G.A.en_US
dc.contributor.authorHassan W.en_US
dc.contributor.authorMahmood F.en_US
dc.contributor.authorKay J.A.en_US
dc.contributor.authorid57203105565en_US
dc.contributor.authorid56038670200en_US
dc.contributor.authorid55248232600en_US
dc.contributor.authorid8853452700en_US
dc.date.accessioned2024-10-14T03:17:32Z
dc.date.available2024-10-14T03:17:32Z
dc.date.issued2023
dc.description.abstractPartial discharge (PD) diagnostics is regarded as one of the powerful methods for the detection of potential electrical insulation defects in a medium voltage (MV) and high voltage (HV) switchgear. This article proposes a risk-based approach to identify the severity of several critical electrical defects in MV/ HV switchgear through PD testing. To accomplish this, several defects have been artificially created in a MV switchgear. The testing was carried out in the laboratory to investigate the characteristics of PD signals using D-dot sensor previously used and validated by the authors. Accordingly, the specific PD intensity of the discharge pulse has been considered as stress parameter and statistically modeled by an appropriate probability distribution. In this way, the probability of dielectric failure has been statistically quantified. The consequences of dielectric failure, and hence, the failure of the switchgear have been presented in terms of power outage cost and repair expenditures. The risk assessment is carried out by combing the probability of failure and its consequence. The estimated risk is an indication of the severity of the fault and can be specified as low, medium, high, or maximum. In this way, the proposed approach can be easily adopted by asset manager for risk assessment of switchgear in the petroleum and chemical industries. � 1972-2012 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/TIA.2023.3299902
dc.identifier.epage7875
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85166752658
dc.identifier.spage7868
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85166752658&doi=10.1109%2fTIA.2023.3299902&partnerID=40&md5=c428b465cc91900f60a38667f72cb225
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/33968
dc.identifier.volume59
dc.pagecount7
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleIEEE Transactions on Industry Applications
dc.subjectCumulative energy function
dc.subjectinsulation defects
dc.subjectMV/ HV switchgear
dc.subjectpartial discharge measurements
dc.subjectprobability distributions
dc.subjectrisk assessment
dc.subjectCondition monitoring
dc.subjectCost engineering
dc.subjectDefects
dc.subjectElectric insulation
dc.subjectElectric switchgear
dc.subjectOutages
dc.subjectPartial discharges
dc.subjectProbability distributions
dc.subjectRisk assessment
dc.subjectRisk management
dc.subjectRisk perception
dc.subjectCumulative energy
dc.subjectCumulative energy function
dc.subjectEnergy functions
dc.subjectHigh voltage switchgear
dc.subjectInsulation defects
dc.subjectMedium voltage
dc.subjectMedium voltage/ high voltage switchgear
dc.subjectPartial discharge measurements
dc.subjectProbability: distributions
dc.subjectRisks assessments
dc.subjectRisks management
dc.subjectChemical industry
dc.titlePartial Discharge Based Risk Assessment Framework for MV Switchgear Containing Electrical Defectsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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