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Online monitoring of transformer winding axial displacement and its extent using scattering parameters and k-nearest neighbour method

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5 Author(s)
Hejazi, M.A. ; Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran ; Gharehpetian, G.B. ; Moradi, G. ; Alehosseini, H.A.
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The online monitoring of the transformer winding using scattering parameters fingerprint is presented. As a test object, a simplified model of transformer is used. The winding axial displacement is modelled on this test object. The scattering parameters of the test object are calculated using the high-frequency simulation software and measured using a network analyser. Two indices are defined based on the magnitude and phase of scattering parameters for the detection of the axial displacement. A new algorithm for the estimation of the axial displacement extent is presented using the proposed indices and high-frequency modelling of the transformer. To detect this mechanical defect and its extent, the k-nearest neighbour (k-NN) regression is suggested.

Published in:

Generation, Transmission & Distribution, IET  (Volume:5 ,  Issue: 8 )