Publication:
A new approach to identify electrical PD signal patterns using frequency spectral analysis

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dc.citedby8
dc.contributor.authorThayoob Y.H.Md.en_US
dc.contributor.authorGhani A.B.Abd.en_US
dc.contributor.authorGhosh P.S.en_US
dc.contributor.authorid6505876050en_US
dc.contributor.authorid24469638000en_US
dc.contributor.authorid55427760300en_US
dc.date.accessioned2023-12-28T08:58:15Z
dc.date.available2023-12-28T08:58:15Z
dc.date.issued2002
dc.description.abstractPartial Discharge (PD) tests on HV equipment have been identified as a popular technique to monitor the deterioration process in insulation. Therefore it is very important to recognize and locate such partial discharges from an unknown origin in the insulation. The research on "PD pattern recognition" is mostly performed in time-domain. In this paper a new criteria has been proposed to analyse "Electrical PD Signals" in the frequency domain for "PD pattern recognition". An experiment is carried out on an 11 KV, single-core, 240 mm2, XLPE cable under three different soil thermal resistivities and cable loading to acquire "Electrical PD Signals" in the shape of ellipse on a 50 Hz time base. The time-domain electrical PD signals are then transformed into frequency spectrum by short-time-Fourier transform (STFT) technique for analysis using eight related frequency-domain descriptors. The proposed spectral analysis results of the "Electrical PD Signals" acquired from the cable experiment have proved that the procedure should be made both for positive and negative polarization of the applied voltage. The obtained results also confirm the ability of the proposed "frequency-domain analysis" to identify a specific PD type from the associated frequency spectra and the related descriptors.en_US
dc.description.natureFinalen_US
dc.identifier.epage719
dc.identifier.scopus2-s2.0-0036442730
dc.identifier.spage716
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0036442730&partnerID=40&md5=6deaf6005f9c2701f906bfaced7afb29
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29922
dc.pagecount3
dc.sourceScopus
dc.sourcetitleConference on Electrical Insulation and Dielectric Phenomena (CEIDP), Annual Report
dc.subjectElectric insulation
dc.subjectElectric potential
dc.subjectFourier transforms
dc.subjectPattern recognition
dc.subjectPolarization
dc.subjectThermal conductivity
dc.subjectTime domain analysis
dc.subjectShort-time Fourier transform (STFT) techniques
dc.subjectPartial discharges
dc.titleA new approach to identify electrical PD signal patterns using frequency spectral analysisen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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