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, 01:10:17am CEST
Practical Applications of Modern Stochastic Simulation and Modelling (Part 3)
Time:
Friday, 05/Sept/2025:
4:20pm - 5:50pm
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
4:20pm - 4:50pm
Harnesses, cable modeling and stochastic EM
Charles Jullien
SAFRAN, France
The electrification of aeronautics is a source of significant electromagnetic interference. The two solutions for limiting these effects are segregation distances and shielding. In the former case, we find ourselves having to address the entire system versus the individual systems. The contribution of stochastic approaches makes it possible to address precisely this type of problem.
4:50pm - 5:20pm
Random Dipole Model of Unintentional Radiators as a Tool for Emission Test Assessments
Jörg Petzold
Otto von Guericke University Magdeburg, Germany
This talk will present a stochastic framework for assessing radiated emissions from unintentional radiators, leveraging the random dipole model to predict electromagnetic interference in complex systems.
5:20pm - 5:50pm
Role of correlations in RC measurement data
Ramiro Serra
Eindhoven University of Technology, Netherlands
This presentation explores the critical role of correlations in reverberation chamber (RC) measurement data, focusing on their proper understanding, measurement techniques, and estimation methods. We will examine how correlations impact key performance parameters such as effective sample size and field uniformity, with particular emphasis on optimal sampling strategies in mode-stirred operation to avoid under- or over-estimation of true correlations.
