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    Characterization of transformer FRA signature under various winding faults

    189242_189242.pdf (3.560Mb)
    Access Status
    Open access
    Authors
    Hashemnia, N.
    Abu-Siada, Ahmed
    Masoum, Mohammad Sherkat
    Islam, Syed
    Date
    2012
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Hashemnia, Naser and Abu-Siada, A. and Masoum, Mohammad A.S. and Islam, Syed M. 2012. Characterization of transformer FRA signature under various winding faults, in Proceedings of the 2012 International Conference on Condition Monitoring and Diagnosis, Sep 23-27 2012, pp. 446-449. Bali, Indonesia: IEEE.
    Source Title
    IEEE
    Source Conference
    International Conference on Condition Monitoring and Diagnosis
    DOI
    10.1109/CMD.2012.6416174
    Remarks

    Copyright © 2012 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/20.500.11937/46945
    Collection
    • Curtin Research Publications
    Abstract

    Frequency response analysis (FRA) is gaining global popularity in detecting power transformer winding and core deformations due to the development of FRA test equipment. However, because FRA relies on graphical analysis, interpretation of its signatures is still a very specialized area that calls for skillful personnel to detect the sort and likely place of the fault as so far, there is no reliable standard code for FRA signature classification and quantification. This paper aims to initiate the establishment of standard codes for FRA signature interpretation through comprehensive simulation analysis on a detailed transformer distributed parameters-based model. Various mechanical faults such as axial displacement, buckling stress, disk space variation and bushing fault are simulated on the model to study its impact on the FRA signature. The main contribution of this paper is the comprehensive table it presents for FRA signature sensitivity to winding and core deformations that can be used for classification and quantification of the transformer FRA signature.

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