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Author: search.filters.author.Suechoey, B.Subject: search.filters.subject.Transformer

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    Improvement of algorithm to reduce training time of back-propagation neural network for transformer interturn fault location
    (2012-10-29)
    Ngaopitakkul, A.
    ;
    Pothisarn, C.
    ;
    Klomjit, J.
    ;
    Bunjongjit, S.
    ;
    Suechoey, B.
    This paper presents an algorithm based on a combination of Discrete Wavelet Transforms and back-propagation neural networks for location of interturn faults in a two-winding three-phase transformer. Fault conditions of the transformer are simulated using ATP/EMTP in order to obtain current signals. The training process for the neural network and fault diagnosis decision are implemented by MATLAB. In addition, the choice of initial number of neurons for the first hidden layer to decrease duration time of train process is taken into account. A comparison between the proposed technique and conventional training is presented. The result is shown that the proposed technique is very effective in reduce training time and gives a satisfactory accuracy. © 2012 IEEE.
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    Estimation of core loss of transformer under non-sinusoidal voltage supply
    (2004-12-01)
    Suechoey, B.
    ;
    Tadsuan, S.
    ;
    Thammarat, C.
    ;
    Leelajindakraireak, M.
    This paper presents the 1-phase transformer core loss estimation under non-sinusoidal voltage supply. The Epstein test apparatus, with grain oriented magnetic steel side M5 (0.3mm), inverter and low pass filter is used in estimation of core loss. The calculated results will be compared with the measured value and are useful for the appropriate single phase transformer design under non-sinusoidal voltage supply. © 2004 IEEE.