Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3683
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dc.contributor.authorKalyan Chakavarthi, M.-
dc.contributor.authorGridhar, A.V.-
dc.contributor.authorSiva Sarma, D.V.S.S.-
dc.contributor.authorArun Kumar, G.-
dc.date.accessioned2025-12-19T09:11:03Z-
dc.date.available2025-12-19T09:11:03Z-
dc.date.issued2021-
dc.identifier.citation10.1109/ICPEE50452.2021.9358702en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3683-
dc.descriptionNITWen_US
dc.description.abstractIncipient Discharge (ID) online checking is a powerful mechanism for assessing insulation imperfections in power transformer. Nowadays, ultra high frequency (UHF) identification technique has gained more attention by researchers for online PD signals diagnosis. In this paper, a broad bandwidth log periodic dipole array (LPDA) printed antenna was designed. The antenna parameters were examined by ANSYS HFSS Software. The incipient discharge experiments were conducted on four distinctive mannered insulation fault models with the designed LPDA antenna. The results of experimental tests reveal that the designed LPDA antenna is appropriate and efficacious for real time PD signals diagnosis in transformers.en_US
dc.language.isoenen_US
dc.publisherICPEE 2021 - 2021 1st International Conference on Power Electronics and Energyen_US
dc.subjectDipole antennasen_US
dc.subjectDirective antennasen_US
dc.titleInvestigation of Log Periodic Dipole Array Printed Antenna for Recognizing Incipient Discharges in Power Transformeren_US
dc.typeOtheren_US
Appears in Collections:Electrical Engineering

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