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dc.contributor.authorAbu-Siada, Ahmed
dc.contributor.authorAljohani, O.
dc.date.accessioned2018-08-08T04:42:39Z
dc.date.available2018-08-08T04:42:39Z
dc.date.created2018-08-08T03:50:44Z
dc.date.issued2018
dc.identifier.citationAbu-Siada, A. and Aljohani, O. 2018. Detecting incipient radial deformations of power transformer windings using polar plot and digital image processing. IET Science, Measurement and Technology. 12 (4): pp. 492-499.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/69867
dc.identifier.doi10.1049/iet-smt.2017.0412
dc.description.abstract

One of the main drawbacks of the frequency response analysis (FRA) technique that is widely accepted as the most reliable tool to detect transformer internal mechanical deformations is the inconsistent interpretation of the measured signature because of its reliance on personal expertise more than standard codes. Moreover, conventional FRA signature has a very low accuracy in detecting incipient and low mechanical fault levels. In order to avoid inconsistent interpretation for the transformer FRA signatures and improve its accuracy to detect minor fault levels, a reliable automated technique has become essential. This study investigates the feasibility of utilising FRA polar plot to detect minor radial deformation levels within two, three-phase power transformers of different ratings and winding configurations simulated using three-dimensional finite-element analysis software. Simulation results are validated through experimental measurements. Results of this study are also compared with the results obtained for other types of transformer winding deformations that are published in the literature in order to identify unique impact for each fault type on the proposed method. Findings reveal the superiority of the proposed approach over existing conventional technique in terms of accurate identification and quantification for minor transformer winding deformations.

dc.publisherInstitution of Engineering and Technology
dc.titleDetecting incipient radial deformations of power transformer windings using polar plot and digital image processing
dc.typeJournal Article
dcterms.source.volume12
dcterms.source.number4
dcterms.source.startPage492
dcterms.source.endPage499
dcterms.source.issn1751-8822
dcterms.source.titleIET Science, Measurement and Technology
curtin.note

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusOpen access


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