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    A Novel Digital Image Processing Technique to Detect Power Transformers Internal Faults using Frequency Response Analysis Polar Plot Signature

    Aljohani O 2017.pdf (8.684Mb)
    Access Status
    Open access
    Authors
    Aljohani, Omar Maqbul
    Date
    2017
    Supervisor
    Assoc. Prof. Ahmed Abu-Siada
    Type
    Thesis
    Award
    PhD
    
    Metadata
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    Faculty
    Science and Engineering
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/53045
    Collection
    • Curtin Theses
    Abstract

    This thesis introduces a new application, which aims to improve the current approach to interpretation of the Frequency Response Analysis (FRA) signature. In contrast to current FRA practice (conventional approach), the newly proposed application develops various Digital Image Processing techniques to overcome most of the drawbacks of the conventional FRA approach. By automating and standardising FRA interpretation, its detection accuracy is enhanced so that incipient mechanical and non-mechanical faults within power transformers can be detected.

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