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    Detecting incipient radial deformations of power transformer windings using polar plot and digital image processing

    267679.pdf (1.194Mb)
    Access Status
    Open access
    Authors
    Abu-Siada, Ahmed
    Aljohani, O.
    Date
    2018
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Abu-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.
    Source Title
    IET Science, Measurement and Technology
    DOI
    10.1049/iet-smt.2017.0412
    ISSN
    1751-8822
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    Remarks

    © 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.

    URI
    http://hdl.handle.net/20.500.11937/69867
    Collection
    • Curtin Research Publications
    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.

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