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    Noise Detection and Elimination in Online Impulse Frequency Response Analysis

    Mohseni B 2017.pdf (4.842Mb)
    Access Status
    Open access
    Authors
    Mohseni, Bahar
    Date
    2017
    Supervisor
    Prof. Syed Islam
    Type
    Thesis
    Award
    MPhil
    
    Metadata
    Show full item record
    Faculty
    Science and Engineering
    School
    Electrical Engineering
    URI
    http://hdl.handle.net/20.500.11937/57444
    Collection
    • Curtin Theses
    Abstract

    One of the main problems associated with implementing transformer impulse frequency response (IFRA) test online is coupling of external interferences and noise with measured signals, which can lead to misinterpretation of the results. To resolve this issue, in this study, initially, the distribution properties of different types of noise and their impact on the transformer online IFRA signature are investigated and secondly, a filtering technique for elimination of external interferences and noise is proposed.

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