Reduced Order Model Coupling Frequency Domain Method for Calculation of Core Loss in SPM Machine Considering PWM Current Harmonics

W Zhao, Y Wang, J Ji, T Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Prediction of core loss under high-frequency harmonic current excitation is of great
significance to accurately evaluate the efficiency and thermal performance of permanent …

A Novel Parametric System-Level Modeling Method for MEMS Devices Combining Artificial Neural Networks and Behavior Description

H Xu, LF Zhao, ZF Zhou, ZX Yi, M Qin… - Journal of …, 2024 - ieeexplore.ieee.org
System-level simulation with macromodel is an important way to help MEMS design and
optimization. The applications of traditional MEMS macromodels are confronted with the …

Mixed proper orthogonal decomposition with harmonic approximation for parameterized order reduction of electromagnetic models

R Torchio, A Zanco, F Lucchini, P Alotto… - 2022 International …, 2022 - ieeexplore.ieee.org
This paper presents some preliminary investigations on a hybrid Model Order Reduction
approach for parameter-dependent electromagnetic systems. Starting from an integral …

Uncertainty Quantification in Large Scale Systems Design

Y Tao - 2022 - repository.library.carleton.ca
One of the main challenges facing designers of high-speed integrated circuits and
interconnects is predicting the effect of the variability of geometrical and physical parameters …

Model-Order Reduction of Massively Coupled Parameterized Systems via Clustering

JD Kathrotiya - 2021 - repository.library.carleton.ca
Abstract Parametrized Model Order Reduction (PMOR) methods reduce the full equations
for large parametric networks into a reduced number of parametrized equations. The …