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dc.contributor.authorKalpana, Patel
dc.contributor.authorDas, Narottam
dc.contributor.authorAbu Siada, Ahmed
dc.contributor.authorIslam, Syed
dc.contributor.editorMichael Negnevitsky
dc.identifier.citationKalpana, Patel and Das, Narottam and Abu Siada, A. and Islam, Syed. 2013. Power transformer winding fault analysis using transfer function, in Negnevitsky, M. (ed), The Australasian Universities Power Engineering Conference, Sep 29-Oct 3 2013. Hobart, Australia: AUPEC.

Condition monitoring of power transformers is essential to maintain the reliability of electricity grid. Frequency response analysis (FRA) is a useful tool for the detection of incipient mechanical faults within power transformers. There are various methods of evaluating the frequency spectrum for fault classification and quantification. This paper presents a useful method to detect and to identify various winding faults of a power transformer based on its FRA signature. Simulation results show that location of resonance frequencies which are the key parameters in identifying various winding deformations are uniquely altered due to different faults.

dc.titlePower transformer winding fault analysis using transfer function
dc.typeConference Paper
dcterms.source.titleThe Australasian Universities Power Engineering Conference
dcterms.source.seriesThe Australasian Universities Power Engineering Conference
dcterms.source.conferenceThe Australasian Universities Power Engineering Conference
dcterms.source.conference-start-dateSep 29 2013
dcterms.source.conferencelocationHobart, Australia
curtin.accessStatusOpen access

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