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dc.contributor.authorAljohani, O.
dc.contributor.authorAbu-Siada, Ahmed
dc.contributor.authorIslam, Syed
dc.contributor.editorCMD 2014
dc.identifier.citationAljohani, O. and Abu-Siada, A. and Islam, S. 2014. Application of Digital Image Processing to Diagnose Transformer Winding Deformation using FRA Polar Plot, in CMD 2014 (ed), International Conference on Condition Monitoring and Diagnosis, CMD 2014, Sep 21 2014. Jeju, Korea: CMD 2014.

Digital image processing (DIP) technique has been growing rapidly as an essential tool to interpret various image features for many applications of science and engineering. Condition monitoring and diagnosis are considered the main areas that relay on DIP. Frequency response analysis (FRA) technique has become a popular and reliable diagnostic tool in detecting various winding deformations within power transformers. However, interpretation of FRA signatures still requires high expertise because of its reliance on graphical analysis. This paper presents a new technique for the interpretation of transformers FRA signatures. The proposed technique relies on incorporating both magnitude and angle of the FRA signature in one polar plot, which is manipulated to extract some unique features using DIP techniques. The proposed technique can assess in identifying and quantifying various winding deformation within power transformers. The proposed technique is easy to implement in any frequency response analyser.

dc.publisherCMD 2014
dc.subjectDigital image processing
dc.subjectPower transformer
dc.subjectFrequency response analysis
dc.subjectPolar plot
dc.subjectCondition monitoring
dc.titleApplication of Digital Image Processing to Diagnose Transformer Winding Deformation using FRA Polar Plot
dc.typeConference Paper
dcterms.source.titleCMD 2014 flash memory
dcterms.source.seriesCMD 2014 flash memory
dcterms.source.conferenceInternational Conference on Condition Monitoring and Diagnosis, CMD 2014
dcterms.source.conference-start-dateSep 21 2014
dcterms.source.conferencelocationJeju, Korea
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available

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