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    Improved Method to Obtain the Online Impulse Frequency Response Signature of a Power Transformer by Multi Scale Complex CWT

    Access Status
    Fulltext not available
    Authors
    Zhao, Z.
    Tang, C.
    Yao, C.
    Zhou, Q.
    Xu, L.
    Gui, Y.
    Islam, Syed
    Date
    2018
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Zhao, Z. and Tang, C. and Yao, C. and Zhou, Q. and Xu, L. and Gui, Y. and Islam, S. 2018. Improved Method to Obtain the Online Impulse Frequency Response Signature of a Power Transformer by Multi Scale Complex CWT. IEEE Access. 6: pp. 48934-48945.
    Source Title
    IEEE Access
    DOI
    10.1109/ACCESS.2018.2868058
    ISSN
    2169-3536
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/72813
    Collection
    • Curtin Research Publications
    Abstract

    © 2013 IEEE. Online impulse frequency response analysis (IFRA) has proven to be a promising method to detect and diagnose the transformer winding mechanical faults when the transformer is in service. However, the existing fast Fourier transform (FFT) is actually not suitable for processing the transient signals in online IFRA. The field test result also shows that the IFRA signature obtained by FFT is easily distorted by noise. An improved method to obtain the online IFRA signature based on multi-scale complex continuous wavelet transform is proposed. The electrical model simulation and online experiment indicate the superiority of the wavelet transform compared with FFT. This paper provides guidance on the actual application of the online IFRA method.

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