Identifying interference from multiple noise sources using only magnetic near fields

J Pan, X Gao, J Fan - IEEE Transactions on Electromagnetic …, 2020 - ieeexplore.ieee.org
As electronic products become increasingly more complicated, multiple noise sources are
likely to simultaneously interfere with the radio frequency (RF) receiver. It will be very helpful …

A new method for identifying electromagnetic radiation sources using backpropagation neural network

D Shi, Y Gao - IEEE transactions on electromagnetic …, 2013 - ieeexplore.ieee.org
Artificial neural networks (ANN) have been widely applied for their intelligence in pattern
recognition and microwave components. For an electromagnetic (EM) radiated noise source …

[PDF][PDF] The analytical and artificial intelligence methods to investigate the effects of aperture dimension ratio on electrical shielding effectiveness

IB Basyigit, H Dogan - International Journal of Electronics and …, 2019 - bibliotekanauki.pl
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 …

[PDF][PDF] Identifying interference from multiple noise sources by magnetic near fields only

J Pan, X Gao, J Fan - IEEE Trans. Electromagn. Compat, 2019 - ieeexplore.ieee.org
As electronic products become more and more complicated, multiple noise sources very
likely interfere with the radio frequency (RF) receiver simultaneously. This paper proposes a …

Prediction of system-level electric field radiated emission based on ANN reverse model

L Luyao, J Xiao, C Jinliang - 强激光与粒子束, 2024 - hplpb.com.cn
To address the issue of system-level electromagnetic compatibility, a new method of
predicting electromagnetic interference of complex systems based on artificial neural …

HEMP Excited Shield Residual Electric Field Modeling Method Based on NARX Neural Network

Z Zhu, J Yang, Y Shi, X Nie, L Xie, W Wang - Progress In Electromagnetics …, 2020 - jpier.org
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 …

[PDF][PDF] 基于神经网络反向模型的系统级电场辐射发射预测 D

刘璐瑶, 金晓, 蔡金良 - 强激光与粒子束, 2024 - researching.cn
针对多设备叠加系统级电磁兼容性问题, 提出了一种基于神经网络反向模型的复杂系统电磁干扰
预测新方法. 首先实测单设备电场辐射发射数据, 通过噪声源辐射发射等效性原理仿真多设备 …

The effect of shielding, grounding and bonding to the electromagnetic compatibility of high emission printed circuit board

A Mohammed Nwehil - 2018 - eprints.uthm.edu.my
Electromagnetic Compatibility (EMC) is the capability of the device or the system to perform
its work correctly within its electromagnetic environment without causing the introduction of …

Analysis of Modeling and Simulation on Shielding Effectiveness

G Zhang, Y Ding, Z Wang, X Zhang… - … Conference on Material …, 2017 - atlantis-press.com
Enclosure is an important equipment to reduce the electromagnetic interference. Rational
design can make electronic equipment has a good electromagnetic compatibility. This paper …