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Your search keyword '"Domenig, Lukas Daniel"' showing total 2 results
Start Over Author "Domenig, Lukas Daniel" Topic hysteresis
2 results on '"Domenig, Lukas Daniel"'

1. Employing automatic differentiation and neural networks for parameter identification of an energy based hysteresis model.

Author

Mušeljić, Eniz, Roppert, Klaus, Domenig, Lukas Daniel, Köstinger, Alice Reinbacher, and Kaltenbacher, Manfred

Subjects
AUTOMATIC differentiation, PARAMETER identification, HYSTERESIS, DISTRIBUTION (Probability theory)
Abstract

This paper is about the parameter identification of an energy based hysteresis model from measurements by employing automatic differentiation and neural networks. We first introduce the energy based hysteresis model and the parameters which are to be identified. Then we show how the model can benefit from automatic differentiation. After that we incorporate a parametrization of the energy based hysteresis model via distribution functions and identify the parameters of the distribution function. Then, the hysteresis model is sampled and the generated datasets are used to train neural networks to predict the hysteresis parameters. The described methods are tested and verified on synthetic as well as measurement data. [ABSTRACT FROM AUTHOR]

Published
2023
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2. Comparing two topology transformer hysteresis models derived from DC hysteresis measurements.

Author

Albert, Dennis, Domenig, Lukas Daniel, Schachinger, Philipp, Roppert, Klaus, and Renner, Herwig

Subjects
*POWER transformers, *CURRENT transformers (Instrument transformer), *MAGNETIC hysteresis, *TOPOLOGY, *HYSTERESIS
Abstract

Purpose: The purpose of this paper is to investigate the applicability of a direct current (DC) hysteresis measurement on power transformer terminals for the subsequent hysteresis model parametrization in transformer grey box topology models. Design/methodology/approach: Two transformer topology models with two different hysteresis models are used together with a DC hysteresis measurement via the power transformer terminals to parameterize the hysteresis models by means of an optimization. The calculated current waveform with the derived model in the transformer no-load condition is compared to the measured no-load current waveforms to validate the model. Findings: The proposed DC hysteresis measurement via the power transformer terminals is suitable to parametrize two hysteresis models implemented in transformer topology models to calculate the no-load current waveforms. Originality/value: Different approaches for the measurement and utilization of transformer terminal measurements for the hysteresis model parametrization are discussed in literature. The transformer topology models, derived with the presented approach, are able to reproduce the transformer no-load current waveform with acceptable accuracy. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
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