Overview
ABSTRACT
This article deals with electromagnetic compatibility (EMC) measurements carried out as part of EMC tests on electronic equipment. This field is partly based on the physics of electromagnetism. However, electromagnetic fields are not directly measurable. Electromagnetic field metrology is therefore a complex science in which the subtle relationship between fields and electronics must be mastered. This article sets out the steps and best practices for reducing the uncertainties associated with these tests.
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Read the articleAUTHORS
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Olivier MAURICE: Electromagnetic compatibility engineer - ArianeGroup, Les Mureaux, France
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Manuel RAMOS: Electromagnetic compatibility engineer - ArianeGroup, Les Mureaux, France
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Nicolas VIGNERON: Electromagnetic compatibility engineer - ArianeGroup, Les Mureaux, France
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Sébastien LALLÉCHÈRE: Electromagnetic Compatibility and Lightning Engineer - Safran Tech, Magny-les-Hameaux, France
INTRODUCTION
Electromagnetic compatibility (EMC) is undoubtedly a unique field, as it addresses risk avoidance but does not participate in product design in the same way as mechanics, electronics, etc. This risk stems mainly from unforeseen interactions between electronic systems. EMC is concerned with an area that is not considered by the designer; This highlights the growing importance of its analysis and the assessment of the uncertainties that characterize the scenarios and models required when studying the EMC of systems. The number of interactions between electronic systems quickly exceeds the imagination, and various difficulties arise in EMC and for EMC professions if the uncertainties inherent in systems are taken into account in detail. For example, some interactions are naturally random (e.g., discharge events, lightning phenomena, absolute knowledge of impedance levels in a system, etc.). In addition, these interactions can give rise to behaviors that would not exist in decoupled electronics. As a result, EMC has all the attributes of systems theory and deals with complex systems.
While certain standards and specifications provide a standard framework, advanced methods such as uncertainty propagation or Monte Carlo (MC) simulation are used for complex cases, mainly numerical (i.e., by simulation), as MC is ill-suited to the number of realizations required to apply to measurements (several thousand, tens of thousands, or even more, depending on the desired observables). Thus, while the MC method is resource-intensive, the development of reduced-order models and techniques based on metamodels makes it possible to optimize calculations. Uncertainty analysis becomes crucial for assessing risks, particularly in extreme cases. A preliminary theoretical analysis is essential to validate the models implemented to take into account the reality of EMC scenarios.
Finally, it should be noted that the most critical uncertainty concerns electronic systems, not electromagnetic fields themselves. EMC engineers constantly refer to a theoretical quantity that remains directly inaccessible through experimentation: the electromagnetic field. By constantly manipulating, citing, and calculating this intangible quantity, some may forget its fundamental properties; there is therefore a high risk that these multiple simplifications will distort the reality of this quantity and its use in electronic systems and protection measures. In this article, we will provide some of the basics necessary for understanding these uncertainties, while remaining strictly within the scientific scope of EMC.
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KEYWORDS
EMC | measurements | management uncertainty | uncertainty quantifications
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Methodology for reducing uncertainties in EMC measurements
Bibliography
Standards and norms
- Environmental Conditions and Test Procedures for Airborne Equipment. GUM – Evaluation of measurement data – Guide to the Expression of Uncertainty in Measurement. - RTCA DO-160G -
CISPR16-4 – Parts 1 to 5.
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Lab 36 UKAS
EMC Measurement uncertainty –: a handy guide – SCHAFFNER
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