This paper presents that the effect of single aperture size of metallic enclosure on electrical shielding effectiveness (ESE) at 0 -1 GHz frequency range has been investigated by using both Robinson's analytical formulation and artificial neural networks (ANN) methods that are multilayer perceptron (MLP) networks and a radial basis function neural network (RBFNN). All results including measurement have been compared each other in terms of aperture geometry of metallic enclosure. The geometry of single aperture varies from square to rectangular shape while the open area of aperture is fixed. It has been observed that network structure of MLP 3-40-1 in modeling with ANN modeled with fewer neurons in the sense of overlapping of faults and data and modeled accordingly. In contrast, the RBFNN 3-150-1 is the other detection that the network structure is modeled with more neurons and more. It can be seen from the same network-structured MLP and RBFNN that the MLP modeled better. In this paper, the impact of dimension of rectangular aperture on shielding performance by using RBFNN and MLP network model with ANN has been studied, as a novelty.
Keywords-electromagneticshielding, electromagnetic compatibility, apertures, multilayer perceptron, radial basis function networks
I. INTRODUCTIONLECTROMAGNETIC interference has emerged as a major problem with the complexity of electronic circuits. Especially, sensitive electronic equipment may be damaged by this interference. Shielding is one of the major effective methods to reduce the levels of emissions and improve the immunity of electronic equipment. Shielded enclosures and enclosure components usually have apertures for maintenance, cooling and ventilation that they have different pattern and size for control panels, heat dissipation, cables, and other purposes. These apertures decrease the shielding performance and the integrity of the shielded enclosures due to the electromagnetic energy leakage. Also the dielectric mediums have