Reduction of Random Variables in EMC Uncertainty Simulation Model
| العنوان: | Reduction of Random Variables in EMC Uncertainty Simulation Model |
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| المؤلفون: | Jinjun Bai, Yixuan Wan, Ming Li, Gang Zhang, Xin He |
| المصدر: | The Applied Computational Electromagnetics Society Journal (ACES). |
| بيانات النشر: | River Publishers, 2023. |
| سنة النشر: | 2023 |
| مصطلحات موضوعية: | Astronomy and Astrophysics, Electrical and Electronic Engineering |
| الوصف: | To improve the reliability of simulation results, uncertainty analysis methods were developed in the Electromagnetic Compatibility (EMC) field. Random variables are used to describe random events. The more random variables you have, the less efficient the simulation is. Therefore, many high-accuracy methods have the problem of dimensional disaster, which means the calculation efficiency decreases exponentially with the increase of the number of random variables. A random variable reduction strategy based on sensitivity analysis method is proposed in this paper, so as to improve the computational efficiency of the global uncertainty analysis method. |
| تدمد: | 1943-5711 1054-4887 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::525bf195522f194d74fae14b15d57dd8 https://doi.org/10.13052/2022.aces.j.370903 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........525bf195522f194d74fae14b15d57dd8 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19435711 10544887 |
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