The Analytical and Artificial Intelligence Methods to Investigate the Effects of Aperture Dimension Ratio on Electrical Shielding Effectiveness


BAŞYİĞİT İ. B., Dogan H.

International Journal of Electronics and Telecommunications, cilt.65, sa.3, ss.359-365, 2019 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 65 Sayı: 3
  • Basım Tarihi: 2019
  • Doi Numarası: 10.24425/ijet.2019.126322
  • Dergi Adı: International Journal of Electronics and Telecommunications
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.359-365
  • Anahtar Kelimeler: Apertures, Electromagnetic compatibility, Electromagnetic shielding, Multilayer perceptron, Radial basis function networks
  • Isparta Uygulamalı Bilimler Üniversitesi Adresli: Hayır

Özet

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.