Assessing Vircators’ Reliability Through Uncertainty and Sensitivity Analyses Using a Surrogate Model
| Autor: | Fahad Alyafei, Sebastien Lallechere, Ernesto Neira, Felix Vega, Mae Almansoori, Chaouki Kasmi |
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| Přispěvatelé: | Technology Innovation Institute, Abu Dhabi, Institut Pascal (IP), SIGMA Clermont (SIGMA Clermont)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Universidad Nacional de Colombia [Bogotà] (UNAL) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
General Computer Science
Computer science Computation Monte Carlo method General Engineering 020206 networking & telecommunications 02 engineering and technology Vircator Pulsed power 01 natural sciences 010305 fluids & plasmas Power (physics) [SPI.ELEC]Engineering Sciences [physics]/Electromagnetism Surrogate model 0103 physical sciences 0202 electrical engineering electronic engineering information engineering General Materials Science Sensitivity (control systems) Uncertainty quantification Reliability (statistics) Simulation |
| Zdroj: | IEEE Access IEEE Access, IEEE, 2020, 8, pp.205022-205033. ⟨10.1109/ACCESS.2020.3037347⟩ IEEE Access, 2020, 8, pp.205022-205033. ⟨10.1109/ACCESS.2020.3037347⟩ |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/ACCESS.2020.3037347⟩ |
| Popis: | International audience; The performances of Vircators have been reported in different studies showing that a high discrepancy between the simulated and measured output peak power and radiating frequency can be encountered. Limited investigations have been reported where the one-variable-at-a-time methodology was applied. Performing a full analysis requires to apply statistical methods over a large number of experiments (simulation or measurement) which has been a challenge due to the computation time required to simulate Vircators. Recently, an surrogate model has been proposed to drastically reduce the computation time. In this paper, we propose to evaluate the performance variability of a Vircator considering mechanical manufacturing tolerances as well as the Pulsed Power source variability. The analysis is performed by means of well-spread stochastic methods (classical Monte Carlo, spectral techniques), and alternative sensitivity analysis approaches. INDEX TERMS High power microwave generation, pulse power systems, statistics, uncertainty quantification. |
| Databáze: | OpenAIRE |
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