Chaouki Kasmi

Modeling of the propagation along low voltage power networks for IEMI studies

We present in this paper experimental and simulation results on the propagation of IEMI disturbances along a commercial power network mockup. Two different numerical tools were used in this study: CST Cable Studio and the CRIPTE code. The presented results show that an accurate modeling of the propagation along real cabling scenarios requires a very high degree of knowledge of the simulated topology. Furthermore, it is shown that uncertainties in the input geometrical and electrical parameters may significantly impact the accuracy of simulated results.

Stochastic EMC/EMI Experiments Optimization Using Resampling Techniques

Recent studies have shown high interest in statistical methods dedicated to the prediction of the maximum confidence levels in simulations and measurements for risk assessment in electromagnetic compatibility. In particular, it has been shown that one of the main issues remains the access to a number of samples allowing the assessment of the risks in regards to test setup random variables. In this paper, it is argued that a real-time bootstrapping module enables to optimize the number of experiments while estimating the maximum confidence levels of the accessible samples. An efficient technique is presented to substitute the full experimental requirements to a simple and low time-consuming mathematical algorithm. The benefits expected of this method are illustrated throughout experimental shielding effectiveness power measurements. Based upon an optimized statistical approach, the first statistical moments (e.g., mean and standard deviation) of power received inside a cabinet are provided jointly with an accurate assessment of powers quantiles, leading to a better evaluation of extreme values.

EMC/EMI and Functional Safety: Methodology to characterize effects of interferences on devices

Electromagnetic Security refers to the compliance of electronic devices with Information Security requirements with regards to EMC/EMI issues, and has important implications where there are Functional Safety or other risks to be managed. In this study, the resilience and the integrity of electronic devices are the topics of interests. Many studies were devoted to the analysis and the classification of failures and damages by electromagnetic interferences induced on commercial off-the-shelf devices. Specific health monitoring software is highly recommended to get a fine-grain classification of effects induced by intentional or unintentional parasitic fields. We propose here to demonstrate the pertinence of the proposed approach for detecting potential failures induced on computers and smartphones by parasitic fields.

Functional susceptibility of COTS devices to IEMI at local and large-scale levels

Electromagnetic Security refers to the compliance of electronic devices with Information Security requirements with regards to EMC/EMI issues. In this study, the resilience and the integrity of electronic devices are the topics of interests. Many studies were devoted to the analysis and the classification of failures and damages by electromagnetic interferences induced on commercial off-the-shelf devices. Specific health monitoring software is highly recommended to get a fine-grain classification of effects induced by intentional or unintentional parasitic fields. We propose here to demonstrate the pertinence of the proposed approach for detecting potential failures induced on computers by parasitic fields.

Optimization of experimental procedure in EMC using re-sampling techniques

Recent studies have shown a high interest in statistical methods dedicated to the prediction of the maximum confidence in simulation and measurements for Electromagnetic Compatibility. In particular, it has been shown that one of the main issues remains the access to a number of samples allowing estimating the risks with regard to the test set-up random variables. In this paper it is argued that re-sampling techniques, also called bootstrapping procedures, enable to optimize the number of experiments while estimating the maximum confidence level of the accessible samples.