Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/10201
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dc.contributor.authorChong Yu Pingen_US
dc.contributor.authorChua Chun Piauen_US
dc.contributor.authorYasmin Hanum Md Thayooben_US
dc.contributor.authorSyed Khaleel Ahmeden_US
dc.contributor.authorYogendra Balasubramaniamen_US
dc.date.accessioned2018-04-03T07:52:22Z-
dc.date.available2018-04-03T07:52:22Z-
dc.date.issued2015-
dc.identifier.urihttp://cogs.uniten.edu.my/portal/NatGrad2015/Proceedings/EP/PaperID_80.pdf-
dc.identifier.urihttp://dspace.uniten.edu.my/jspui/handle/123456789/10201-
dc.description.abstractPartial Discharge (PD) detection is one of the important methods used to evaluate the insulation condition of in-services high voltage electrical equipment. On-site PD detection methods are preferable compared to others method because non-intrusive sensors are easy to install and have no interruptions on operation. An electrical PD testing utilizing High Frequency Current Transformer (HFCT) installed at the ground terminal of the instrument transformer was used to detect partial discharge activities. However, the limitation of this method is the measurement often lacks of accuracy due to interference in PD. The PD signals are hard to distinguish from the stochastic noise pulses. Therefore, the characteristics of PD signals and interferences signals are studied in Phase Resolved Partial Discharge (PRPD) pattern in order to identify the extent of PD signals.en_US
dc.language.isoenen_US
dc.titleAnalysis and Characterization of Partial Discharge Signals From Instrument Transformer in Noisy Environmenten_US
dc.typeConference Proceedingen_US
dc.relation.conferenceThe 3rd National Graduate Conference (NatGrad2015), Universiti Tenaga Nasional, Putrajaya Campus, 8-9 April 2015en_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:COGS Scholarly Publication
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