The analytical, numerical and neural network evaluation versus experimental of electromagnetic shielding effectiveness of a rectangular enclosure with apertures

Belkacem, F. Tahar; Bensetti, Mohamed; Laour, Mohammed; Boutar, Abdelghafour; Djennah, M.; Moussaoui, D.; Mazari, B.

doi:10.1109/ukricis.2010.5898122

Cited by 7 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The backward calculation is the phase of changing the weights in order to minimize the error at the output. The universal approximation theory for MLPs was developed [26]. According to this theory, there is a three-layer MLP that provides approximation of the desired accuracy for any non-linear, continuous, multidimensional function.…”

Section: Test and Measurement Setupmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Başyiğit

Doğan

2019

View full text Add to dashboard Cite

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

show abstract

Section: Test and Measurement Setupmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Başyiğit

Doğan

2019

View full text Add to dashboard Cite

show abstract

“…One role of electronic information equipment's enclosure is shielding. It is good to prevent external electromagnetic environment to affect the performance of electronic devices, and avoid internal electromagnetic interference sources leaking to external electromagnetic environment [6] . Literature [1] compared the FEM method of HFSS software and transmission line method calculating shielding near-field effectiveness of aperture arrays.…”

Section: The Basic Principlementioning

confidence: 99%

Analysis of Modeling and Simulation on Shielding Effectiveness

Zhang¹,

Ding²,

Wang³

et al. 2017

Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)

View full text Add to dashboard Cite

Abstract. Enclosure is an important equipment to reduce the electromagnetic interference. Rational design can make electronic equipment has a good electromagnetic compatibility. This paper presents the coupling elements of the typical electronic information equipment, then uses the HFSS scripting language (VB script) to build a parametric, universal simulation model for the enclosures with apertures, and develops a visual simulation software with the VC++ 6.0, at last gets an automatic modeling and simulation platform. Using the visualization simulation platform, we analyzes the shielding effectiveness of a typical enclosure. Comparing the simulation results with test values, we verify the validity of the software and the model. Finally the different apertures of enclosures are analyzed, and we get a general conclusion to guide the design of enclosures.

show abstract

“…Artificial neural network has a strong ability of solving complex and nonlinear problems. [12] and [13] have already applied artificial neural network (ANN) to handle the shielding effectiveness (SE) of rectangular enclosure with apertures. In [12], the authors use ANN to predict the electric field strength inside a metallic shield.…”

Section: Introductionmentioning

confidence: 99%

“…The electric field strength of different rotation angles and radiation power levels can be predicted with the method. In [13], two kinds of neural networks (MLP and RBF) are proposed to simultaneously estimate the SE. The models have good generalization capability and show a good estimation accuracy.…”

Section: Introductionmentioning

confidence: 99%

Hemp Excited Shield Residual Electric Field Modeling Method Based on Narx Neural Network

Zhu¹,

Yang²,

Shi³

et al. 2020

PIER C

View full text Add to dashboard Cite

To predict the residual electric field inside an electromagnetic (EM) shield under illumination of different HEMP waveforms, a method based on NARX neural network is proposed in this paper. The model can be established from input-output data of EM shield without knowing enclosure and internal structural details. To evaluate the precision of the prediction method, two error criteria based on energy and field amplitude are provided in this paper. As a numerical example, the double exponential pulse with 10% to 90% rise time of 2.5 ns, the pulse width at half maximum of 23 ns, and the corresponding residual electric field are taken as the training data. The EM simulation is used to establish the model of residual electric field inside the shield. The NARX neural network is then built and trained. Other double exponential pulses, with different rise times and pulse widths, and their residual field are taken as the checking data. The results show that the error of the prediction method is sufficiently small for actual use.

show abstract

The analytical, numerical and neural network evaluation versus experimental of electromagnetic shielding effectiveness of a rectangular enclosure with apertures

Cited by 7 publications

References 12 publications

International Journal of Electronics and Telecommunications

International Journal of Electronics and Telecommunications

Analysis of Modeling and Simulation on Shielding Effectiveness

Hemp Excited Shield Residual Electric Field Modeling Method Based on Narx Neural Network

Contact Info

Product

Resources

About