PREDICTION OF MULTIPLE MAGNETIC DIPOLE MODEL PARAMETERS FROM NEAR FIELD MEASUREMENTS EMPLOYING STOCHASTIC ALGORITHMS

In this paper, the problem of predicting far fleld magnitude from near fleld measurements of an equipment under test (EUT) is studied. Firstly, a multiple magnetic dipole model is developed to simulate the magnetic behavior of the EUT. The parameters of the model (dipoles positions and magnetic moments) are calculated using the values of the near fleld applying the Particle Swarm Optimization (PSO) algorithm. For the evaluation of the method, extended simulations were conducted, producing theoretical values and distorting them with noise, and then the developed algorithm was used to create the proper model. Finally, the theoretical results are compared to the fleld assessments the proper models produced.