Stochastic EMC/EMI Experiments Optimization Using Resampling Techniques
| Autor: | Sebastien Lallechere, Pierre Bonnet, Emmanuel Prouff, Françoise Paladian, Chaouki Kasmi, Sébastien Girard, Jose Lopes Esteves |
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| Rok vydání: | 2016 |
| Předmět: |
Electromagnetics
Computer science 020208 electrical & electronic engineering Electromagnetic compatibility 020206 networking & telecommunications 02 engineering and technology Condensed Matter Physics Atomic and Molecular Physics and Optics Standard deviation Reliability engineering Resampling Statistics 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Extreme value theory Random variable Bootstrapping (statistics) Quantile |
| Zdroj: | IEEE Transactions on Electromagnetic Compatibility. 58:1143-1150 |
| ISSN: | 1558-187X 0018-9375 |
| DOI: | 10.1109/temc.2016.2557847 |
| Popis: | 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 power's quantiles, leading to a better evaluation of extreme values. |
| Databáze: | OpenAIRE |
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