A Representative Contents Modeling Approach for Predicting Electronics Susceptibility

A technique is described that partitions the electromagnetic susceptibility analysis of a printed circuit board (PCB) inside a metal enclosure into two parts. First, the PCB is replaced with a representative contents (ReCos) surrogate and characterization of the loaded enclosure yields scalar power density in the vicinity of the PCB. Second, analysis of coupling from enclosing fields to PCB traces is performed to predict PCB voltages and currents. In this work, simple and efficient power balance is applied for the second step. Accuracy of the technique is explored through experiments involving a cylindrical metallic enclosure housing a custom PCB with 30 transmission lines over a frequency range of 500 MHz to 20 GHz.

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Publication Details

Published
2025-08-18
DOI
https://doi.org/10.1109/emcsipi52291.2025.11170222
Primary Topic
Information and Cyber Security
Type
article
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article

A Representative Contents Modeling Approach for Predicting Electronics Susceptibility

Ian J. Timmins, Jon W. Wallace
Information and Cyber Security
article

A Representative Contents Modeling Approach for Predicting Electronics Susceptibility

Ian J. Timmins, Jon W. Wallace
article en

Abstract

A technique is described that partitions the electromagnetic susceptibility analysis of a printed circuit board (PCB) inside a metal enclosure into two parts. First, the PCB is replaced with a representative contents (ReCos) surrogate and characterization of the loaded enclosure yields scalar power density in the vicinity of the PCB. Second, analysis of coupling from enclosing fields to PCB traces is performed to predict PCB voltages and currents. In this work, simple and efficient power balance is applied for the second step. Accuracy of the technique is explored through experiments involving a cylindrical metallic enclosure housing a custom PCB with 30 transmission lines over a frequency range of 500 MHz to 20 GHz.

Sandia National Laboratories (US)
Openalex Percentile: Top 62%
Information and Cyber Security
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A Representative Contents Modeling Approach for Predicting Electronics Susceptibility — Ian J. Timmins, Jon W. Wallace · (2025) | TGRS Research Map | TGRS