Conference Agenda

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, 12:32:16am CEST

 
 
Session Overview
Session
Practical Applications of Modern Stochastic Simulation and Modelling (Part 1)
Time:
Friday, 05/Sept/2025:
11:00am - 12:30pm

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-based design 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)


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Presentations
11:00am - 11:30am

Applications of Power Balance methods and stochastic EM method - from wireless applications to HIRF and IEMI evaluation in aircraft

Isabelle Junqua

ONERA, France

The talk presents an overview of Power Balance methods, and stochastic electromagnetic (EM) techniques applied across multiple domains, from wireless applications to High-Intensity Radiated Fields (HIRF). The research demonstrates how these methodologies can be effectively utilized for Intentional Electromagnetic Interference (IEMI) evaluation in aircraft and critical infrastructure environments.



11:30am - 12:00pm

Co-simulation of 10+ Gbps Signal Integrity in a System-level EMI Environment

Paul Bremner

RobustPhysics, USA

The signal integrity of new, higher speed digital interconnects using PAM4 modulation to reduce bandwidth are more susceptible to voltage noise – including electromagnetic interference (EMI) from the noisy operating environment in an automobile or electric powered aircraft. This presentation will show how the time domain statistics of Radiated Immunity environments in a vehicle can be predicted by Stochastic Power Balance modeling and combined with the interconnect random voltage noise sources in a co-simulation that provides a robust prediction of the channel bit error rate probability density distribution.



 
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