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    Power transformer winding fault analysis using transfer function

    192590_95200_Aupec_Kalpana_Aug7.pdf (207.0Kb)
    Access Status
    Open access
    Authors
    Kalpana, Patel
    Das, Narottam
    Abu Siada, Ahmed
    Islam, Syed
    Date
    2013
    Type
    Conference Paper
    
    Metadata
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    Citation
    Kalpana, Patel and Das, Narottam and Abu Siada, A. and Islam, Syed. 2013. Power transformer winding fault analysis using transfer function, in Negnevitsky, M. (ed), The Australasian Universities Power Engineering Conference, Sep 29-Oct 3 2013. Hobart, Australia: AUPEC.
    Source Title
    The Australasian Universities Power Engineering Conference
    Source Conference
    The Australasian Universities Power Engineering Conference
    URI
    http://hdl.handle.net/20.500.11937/8579
    Collection
    • Curtin Research Publications
    Abstract

    Condition monitoring of power transformers is essential to maintain the reliability of electricity grid. Frequency response analysis (FRA) is a useful tool for the detection of incipient mechanical faults within power transformers. There are various methods of evaluating the frequency spectrum for fault classification and quantification. This paper presents a useful method to detect and to identify various winding faults of a power transformer based on its FRA signature. Simulation results show that location of resonance frequencies which are the key parameters in identifying various winding deformations are uniquely altered due to different faults.

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