Assessment of Maximal Electromagnetic Field Values Based on the Discrete Measured Data Set

Abstract

The paper deals with an assessment procedure of the maximal electromagnetic field values. The technique used in this work comprises the multiquadric approximation of a field quantity obtained using the discrete measured data set. The approximation sufficiently handles multidimensional multiextreme functions by interpolating their discrete values accurately. Subsequently, the maximal value of a field quantity is evaluated by minimizing the negative multiquadric approximation via a stochastic optimization method - differential evolution. Therefore, the implemented procedure provides the maximal value assessment on the basis of a limited number of measured values, thus reducing the experimental cost.

Nikša Kovač

Full Professor | Department of Electrical Engineering Fundamentals

Mario Cvetković

Associate Professor | Department of Electrical Engineering Fundamentals

Associate professor at FESB in Split, with a research focus on numerical modeling including finite element and moment methods, computational bioelectromagnetics and heat transfer related phenomena. He is involved in IEEE’s ICES Technical Committee 95, various international projects and is committed to advancing both knowledge and practical applications in electromagnetic safety and biomedical engineering.