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    Understanding online frequency response signatures for transformer winding deformation: Axial displacement simulation

    Access Status
    Fulltext not available
    Authors
    Zhao, Z.
    Islam, Syed
    Hashemnia, N.
    Hu, D.
    Yao, C.
    Date
    2016
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Zhao, Z. and Islam, S. and Hashemnia, N. and Hu, D. and Yao, C. 2016. Understanding online frequency response signatures for transformer winding deformation: Axial displacement simulation, pp. 404-407.
    Source Title
    2016 International Conference on Condition Monitoring and Diagnosis (CMD)
    DOI
    10.1109/CMD.2016.7757845
    ISBN
    9781509033980
    School
    Department of Electrical and Computer Engineering
    URI
    http://hdl.handle.net/20.500.11937/15774
    Collection
    • Curtin Research Publications
    Abstract

    The power transformer is considered as the most critical and expensive device in substation, however, the irreversible transformer winding mechanical deformation can eventually develop into catastrophic failure if no further steps are taken in a proper way, which would cause the outage of transformer and the significant economic losses. Online frequency response analysis (FRA) has been proven to be a promising tool for condition monitoring and diagnosing of winding deformation. Online FRA relies on graphic comparison of signatures, but up to now, there is no standard and practical interpretation code for signatures classification and quantification. This paper particularly studies the characteristic of online FRA signatures under the winding axial displacement mode, in which the 3D finite element electromagnetic analysis and online transformer equivalent high frequency electrical model are established as auxiliary tools to precisely emulate winding axial displacement. Results of this simulation will provide guidance on understanding online frequency response signatures.

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