论文信息 - Transformer model reduction using time and frequency domain sensitivity techniques

Transformer model reduction using time and frequency domain sensitivity techniques

The paper investigates the use of sensitivity methods to identify the parameters of reduced transformer models. The reduced model retains the structure of the original model. The identification is performed in both the time domain and the frequency domain. The technique is applied to a lumped-linear model of an experimental coil, and the results are promising. >

R. C. Degeneff | Joe H. Chow | R. J. Galarza

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