Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 29th June 2025, 07:25:18am CEST
Practical Applications of Modern Stochastic Simulation and Modelling (Part 2)
Time:
Friday, 05/Sept/2025:
2:20pm - 3:50pm
Location:Room 108
120 seats, Tower 44, 1st floor
Session Abstract
Various stochastic simulation methods have recently matured to deliver uniquely efficient solutions for complex and uncertain electromagnetic field and circuit-level problems but very few EMC and SIPI engineers are actively using them yet. This workshop will review the technical foundations of such stochastic methods but focus more specifically on demonstrating practical applications of today’s stochastic simulation tools and modelling methodologies, highlighting the compelling reasons why they should be used.
Stochastic simulation methods may address the uncertainty in 3D enclosure fields (e.g., reverberation chambers). They may address uncertainties in CE / CS of multiconductor cable assemblies. Or they may use statistical wave physics modelling for RE / RS performance of in-situ coupled cable-cavity field systems. Candidate stochastic simulation methods include (but are not limited to):
Monte Carlo and Sobol-type sensitivity indices
Polynomial Chaos theory
Reverberation chamber theory
Statistical Power Balance modeling
Stochastic Greens function simulation
Random coupling model
Machine learning approaches
The most recent advances in these stochastic simulation methods have provided new, simpler wave power solutions to previously intractable problems. They provide more robust quantification of uncertainty than empirical margins, and they have used statistically reduced order formulations to solve 10+ GHz EMC problems 1000x faster than deterministic, numerical models. Together, these innovations begin to make simulation-baseddesign for EMC and SIPI truly possible. This Workshop will demonstrate the newly available solutions for important practical design applications, such as
Enclosure shielding effectiveness (SE)
Electric field levels in multiple connected, semi-reverberant compartments
Power system-level EMC
Cable harness and PCB radiated and conducted emissions (RE&CE)
Cable harness and PCB radiated susceptibility (RS)
High intensity radio frequency (HIRF) induced current and (SAE / RCTA DO-160)
Lightning modelling,
Combined direct and indirect electrostatic discharge (ESD)
Full system-level electromagnetic environment effects (E3) evaluation (MIL-STD-464)
Presentations
2:20pm - 2:50pm
Surrogate modeling and sensitivity analysis in circuit simulations
Karol Niewiadomski
University of Twente, Netherlands
The presentation explores the application of different sensitivity analysis techniques, including Cotter indices, Morris’ indices, and Sobol indices, to identify and analyze critical and sensitive parameters in Power Electronic (PE) circuit simulations. Additionally, it delves into surrogate modeling, with a particular emphasis on Polynomial Chaos theory, and computational tools which enable this type of analysis.
2:50pm - 3:20pm
Lightning modeling and sensitivity analysis for EMC purposes
Arthur Piat, Victor Dos Santos, Sebastien Lallechere
SAFRAN, France
This talk will present advanced lightning modeling techniques combining deterministic electromagnetic simulations with stochastic collocation methods to assess transient coupling effects. By applying sensitivity analysis to identify critical design parameters, it will demonstrate optimized strategies for mitigating lightning-induced risks and ensuring EMC compliance in complex systems.
3:20pm - 3:50pm
Statistical Models of Power System for Low Voltage Profile Improvement
Robert Smoleński
University of Zielona Góra, Poland
The presentation will show the results of experimental studies of correlations between the level of settings of automatic voltage regulators HV/MV and the voltage level at many points of the low voltage network. The concept of using statistical analyses and machine learning to implement control ensuring an appropriate voltage profile in the LV network allowing for increased absorption from prosumer energy sources will also be presented.
