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Generative Adversarial Learning Based Power Noise Induced Eye Diagram Estimation Method for High-Speed Channel Design 基于生成对抗学习的高速信道功率噪声眼图估计方法
IF 2.1 3区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-10-01 DOI: 10.1109/temc.2025.3610342
Junghyun Lee, Seonguk Choi, Keeyoung Son, Haeyeon Kim, Joonsang Park, Jiwon Yoon, Keunwoo Kim, Hyunjun An, Haeseok Suh, Youngwoo Kim, Joungho Kim
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引用次数: 0
Radiation Source Reconstruction for TSV-Based Chips and Multilayer Circuits via Optimized Neural Networks 基于优化神经网络的tsv芯片和多层电路辐射源重构
IF 2.1 3区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-24 DOI: 10.1109/temc.2025.3609008
Hao Cheng, Weimin Wang, Yongle Wu, Keyan Li, Yuanan Liu
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引用次数: 0
FDTD Computation of Ground-Level Electric Fields Generated by Compact Intracloud Discharges 紧凑云内放电地面电场的时域有限差分计算
IF 2.1 3区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-22 DOI: 10.1109/temc.2025.3606658
Shota Ueda, Yoshihiro Baba, Vladimir A. Rakov
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引用次数: 0
Comments on “Near-Field Prediction in Complex Environment Based on Phaseless Scanned Fields and Machine Learning” “基于无相扫描场和机器学习的复杂环境近场预测”述评
IF 2.5 3区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-17 DOI: 10.1109/TEMC.2025.3605103
Luk R. Arnaut
In [1], a machine learning (ML) method for the estimation of near-field emissions is applied. The method trains and validates a four-layer artificial neural network (ANN) using transverse magnetic field amplitude data, $|H_{x}(underline{r}_{i})|$ and $|H_{y}(underline{r}_{i})|$, as measured or simulated in two scanned parallel planes, for $N$ in-plane pure magnetic dipole sources. The iterative calculation starts from the transverse part of the magneto-magnetic free-space Green dyadic, $underline{underline{G}}^{mm}$, serving as the input to two nonlinear functions $f_{x}$ and $f_{y}$, i.e., [1, eqs. (3) and (4)] begin{align*} |H_{x}(underline{r}_{i})| &= f_{x} left(underline{underline{G}}^{mm}_{xcdot }(underline{r}_{i} | lbrace underline{r}^prime _{j}rbrace ^{N}_{j=1}) right) |H_{y}(underline{r}_{i})| &= f_{y} left(underline{underline{G}}^{mm}_{ycdot }(underline{r}_{i} | lbrace underline{r}^prime _{j} rbrace ^{N}_{j=1}) right), ,i=1,ldots,M tag{1} end{align*} that are evaluated on grids of fixed locations for observations$lbrace underline{r}_{i}rbrace ^{M}_{i=1}$ and dipole sources $lbrace underline{r}^prime _{j}rbrace ^{N}_{j=1}$. This Green’s function formalism offers scope for interpreting the final ANN model in terms of electromagnetic (EM) quantities. For a specific ANN and source model, backpropagation inside the ANN provides a mathematical description of the physical perturbations to the free-space $underline{underline{G}}^{mm}$, generated by multireflection or multiscattering effects, via these nonlinear functions. In [1, Figs. 13–15], field plots and field errors of $|H_{x}|$ and $|H_{y}|$ associated with the final ANN are then compared with those for magnetic dipole generated fields using differential evolution (DE), and with simulation results generated by a computational EM solver as a reference.
在[1]中,应用了一种机器学习(ML)方法来估计近场辐射。该方法使用在两个扫描平行平面上测量或模拟的横向磁场振幅数据$|H_{x}(underline{r}_{i})|$和$|H_{y}(underline{r}_{i})|$,训练并验证了一个四层人工神经网络(ANN),用于$N$平面内纯磁偶极子源。迭代计算从磁-磁自由空间Green并矢$underline{underline{G}}^{mm}$的横向部分开始,作为两个非线性函数$f_{x}$和$f_{y}$的输入,即[1,方程]。(3)和(4)]begin{align*} |H_{x}(underline{r}_{i})| &= f_{x} left(underline{underline{G}}^{mm}_{xcdot }(underline{r}_{i} | lbrace underline{r}^prime _{j}rbrace ^{N}_{j=1}) right) |H_{y}(underline{r}_{i})| &= f_{y} left(underline{underline{G}}^{mm}_{ycdot }(underline{r}_{i} | lbrace underline{r}^prime _{j} rbrace ^{N}_{j=1}) right), ,i=1,ldots,M tag{1} end{align*},在观测$lbrace underline{r}_{i}rbrace ^{M}_{i=1}$和偶极源$lbrace underline{r}^prime _{j}rbrace ^{N}_{j=1}$的固定位置网格上进行评估。这种格林函数的形式化为用电磁(EM)量来解释最终的人工神经网络模型提供了余地。对于特定的人工神经网络和源模型,人工神经网络内部的反向传播通过这些非线性函数提供了对自由空间$underline{underline{G}}^{mm}$的物理扰动的数学描述,这些扰动由多次反射或多次散射效应产生。在[1,图13-15]中,将最终人工神经网络相关的$|H_{x}|$和$|H_{y}|$的场图和场误差与使用差分演化(DE)的磁偶极子产生的场进行比较,并以计算EM求解器生成的模拟结果为参考。
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引用次数: 0
Reconstruction of EMI Sources for PCBs Based on Adaptive Differential Evolution Algorithm 基于自适应差分进化算法的pcb电磁干扰源重构
IF 2.1 3区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-15 DOI: 10.1109/temc.2025.3605016
Xiao Ma, Junjun Wang, Chunbin Hou, Qi Wu
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引用次数: 0
Modeling and Suppression of Common-Mode Voltage Resonance in a Three-Level Inverter With Middle Line 带中线的三电平逆变器共模电压谐振建模与抑制
IF 2.5 3区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-08 DOI: 10.1109/TEMC.2025.3601240
Zhaocheng Zhong;Junhao Chang;Yikun Jiang;Henglin Chen
In a high-power three-level inverter, a middle line is connected between an ac neutral point and a dc neutral point to construct a common-mode (CM) loop, which could reduce low-frequency electromagnetic interference (EMI). However, the stray inductance of the middle line may lead to CM voltage resonance, causing a new EMI problem. To address this challenge, this letter proposes an EMI model of the three-level inverter, which fully considers the neutral point to ground voltage fluctuation and the influence of the middle line stray inductance on resonance. Then, based on the EMI model, sensitivity analysis is performed to identify the primary CM resonance parameters, and the CM resonance mechanism is analyzed. According to the proposed EMI model, a new suppression method is developed. A capacitor is connected between the dc neutral point and the ground to eliminate the resonance, which could significantly reduce the size and cost of EMI filters. Both the accuracy of the EMI model and the effectiveness of the suppression method are validated through simulation and measurement.
在大功率三电平逆变器中,在交流中性点和直流中性点之间连接一条中线,构成共模(CM)环,可以降低低频电磁干扰(EMI)。然而,中线的杂散电感可能导致CM电压谐振,从而产生新的电磁干扰问题。为了解决这一挑战,本文提出了一个三电平逆变器的电磁干扰模型,该模型充分考虑了中性点对地电压波动和中线杂散电感对谐振的影响。然后,基于电磁干扰模型,进行灵敏度分析,确定了CM谐振的主要参数,并分析了CM谐振的机理。根据提出的电磁干扰模型,提出了一种新的抑制方法。在直流中性点和地之间连接电容以消除谐振,这可以显着减小EMI滤波器的尺寸和成本。通过仿真和测量验证了电磁干扰模型的准确性和抑制方法的有效性。
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引用次数: 0
Response of 10 kV Insulators and Metal-Oxide Arresters Excited by MV-Level Transient Electromagnetic Disturbance 10kv绝缘子和金属氧化物避雷器在mv级瞬变电磁干扰下的响应
IF 2.1 3区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-05 DOI: 10.1109/temc.2025.3602822
Yi Zhou, Yan-Zhao Xie, Hao-Ming Sun, Wei-Hua Zhao
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引用次数: 0
Modeling and Characterization of Near-Field Coupling Between Components and Harnesses in Presence of Ground Planes: A Case Study 在地面存在下组件和线束之间近场耦合的建模和表征:一个案例研究
IF 2.5 3区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-03 DOI: 10.1109/TEMC.2025.3601209
Martin Humeau;Mohsen Koohestani;David Boudikian;Mohamed Ramdani
This article presents an extension of an analytical model designed to predict electromagnetic (EM) near-field coupling in automotive electronic systems. It incorporates a printed circuit board (PCB) into the modeling framework to better reflect real-world configurations and accurately account for EM interactions and signal integrity. The noise source is modeled as a single-turn metallic loop above a PCB ground plane, while the victim is represented by a wire positioned near the noise source. The proposed analytical method takes into account transmission line equations and the Biot–Savart law to calculate mutual inductance while optimizing computational efficiency. A detailed evaluation of the required number of wire sections and image loops ensures accurate modeling of magnetic field interactions. The analytical model was validated through full-wave simulations in Ansys HFSS and a measurement campaign. Results demonstrated good agreement between analytical predictions, simulations, and measurements across a frequency range of 1 MHz to 1 GHz, with deviations limited to acceptable margins. A key advantage of this approach is its computational efficiency, achieving results in seconds compared to hours required by full-wave simulations for the same number of frequencies. This optimization is particularly valuable in industrial contexts, where rapid design iteration is essential. By bridging the gap between analytical simplicity and real-world complexity, this study demonstrates the potential of the developed analytical model as a robust and time-efficient alternative for EM compatibility analysis.
本文提出了一个用于预测汽车电子系统中电磁(EM)近场耦合的分析模型的扩展。它将印刷电路板(PCB)集成到建模框架中,以更好地反映现实世界的配置,并准确地考虑电磁相互作用和信号完整性。噪声源被建模为PCB接平面上方的单匝金属环,而受害者则由位于噪声源附近的导线表示。该分析方法在优化计算效率的同时,考虑了传输线方程和Biot-Savart定律来计算互感。对所需导线截面和图像回路数量的详细评估确保了磁场相互作用的准确建模。分析模型通过Ansys HFSS全波仿真和测量活动进行了验证。结果表明,在1mhz至1ghz的频率范围内,分析预测、模拟和测量结果之间具有良好的一致性,偏差限制在可接受的范围内。这种方法的一个关键优势是它的计算效率,与相同频率数量的全波模拟所需的数小时相比,它可以在几秒钟内获得结果。这种优化在工业环境中特别有价值,因为快速设计迭代是必不可少的。通过弥合分析的简单性和现实世界的复杂性之间的差距,本研究证明了开发的分析模型作为EM兼容性分析的鲁棒性和时间效率替代方案的潜力。
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引用次数: 0
Reconstructing Radiation Model of Chip in SiP Based on Magnetic Amplitude from Near-Field Scanning Measurements 基于近场扫描磁幅值重建SiP芯片辐射模型
IF 2.1 3区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-09-03 DOI: 10.1109/temc.2025.3600686
Yaya Liang, Wei Zhang, Pan Ren, Kaijin Wang, Xiaojie Li, Pingan Du
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引用次数: 0
Comments on “New Methodology for Representing Soil Ionization in FDTD Simulations of Grounding Electrodes” 对“接地电极时域有限差分模拟中表征土壤电离的新方法”的评论
IF 2.5 3区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-08-29 DOI: 10.1109/TEMC.2025.3594106
José A. Brandão Faria
This article comments on a recent IEEE Trans. EMC paper titled “New methodology for representing soil ionization in FDTD simulations of grounding electrodes,” where the Liew–Darveniza algorithm (1974) is used. We show that the assumption of cylinder-hemisphere equipotential patterns is not physically sound and propose an alternative that uses confocal hemi-ellipsoidal equipotential patterns.
这篇文章评论了最近的IEEE翻译。EMC论文题为“在接地电极的时域有限差分模拟中表示土壤电离的新方法”,其中使用了liow - darveniza算法(1974)。我们证明了圆柱-半球等势模式的假设在物理上是不合理的,并提出了一种使用共焦半椭球等势模式的替代方法。
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IEEE Transactions on Electromagnetic Compatibility
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