Polynomial Chaos-Based Tolerance Analysis of Microwave Planar Guiding Structures [PDF]
, 2011 This paper focuses on the derivation of an enhanced transmission-line model allowing to describe a realistic microwave interconnect with the inclusion of external uncertainties, like tolerances or process variations. The proposed method, that is based on
Paolo Manfredi +3 more
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Comparison of Stochastic Methods for the Variability Assessment of Technology Parameters [PDF]
, 2011 This paper provides and compares two alternative solutions for the simulation of cables and interconnects with the inclusion of the effects of parameter uncertainties, namely the Polynomial Chaos (PC) method and the Response Surface Modeling (RSM).
Stievano, Igor Simone +7 more
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Performance of non-intrusive uncertainty quantification in the aeroservoelastic simulation of wind turbines [PDF]
Wind Energy Science, 2019 The present paper characterizes the performance of non-intrusive uncertainty quantification methods for aeroservoelastic wind turbine analysis. Two different methods are considered, namely non-intrusive polynomial chaos expansion and Kriging.
P. Bortolotti +4 more
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Airfoil Robust Optimization Based on Convolutional Neural Network and Polynomial Chaos Method
Hangkong gongcheng jinzhan, 2021 In conventional airfoil optimization design method, the aerodynamic performance of the optimal airfoil can deteriorate at the non-design point, so it is necessary to study the airfoil robust optimization method.An airfoil robustness design method based ...
GAO Yuan +4 more
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Performance of Modal Signaling vs. medium dielectric variability [PDF]
, 2012 This paper addresses the feasibility of the so-called Modal Signaling (MS) transmission scheme from a stochastic viewpoint. MS has been proposed for crosstalk mitigation over interconnects and is based on the encoding of signals onto fundamental ...
Stievano, Igor Simone +5 more
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Polynomial Chaos Expansion mit räumlich adaptiven Sparse Grids [PDF]
, 2020 Die Polynomial Chaos Expansion (generalized Polynomial Chaos) ist eine Methode aus der Uncertainty Quantification. Mit ihr können die stochastischen Momente einer Funktion R, deren Parameter gemäß Verteilungsfunktionen verteilt sind, schnell berechnet ...
Albrecht, Thomas
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UNCERTAINTY EVALUATION METHOD FOR NONLINEAR SYSTEM TEST BASED ON POLYNOMIAL CHAOS EXPANSION
Jixie qiangdu, 2022 The uncertainty analysis of test results of nonlinear system shows the dispersion of test results. In this paper, an evaluation method of test uncertainty of nonlinear system based on polynomial chaos expansion is suggested.
YU HuiJie +5 more
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Optimized sparse polynomial chaos expansion with entropy regularization
Advances in Aerodynamics, 2022 Sparse Polynomial Chaos Expansion (PCE) is widely used in various engineering fields to quantitatively analyse the influence of uncertainty, while alleviating the problem of dimensionality curse.
Sijie Zeng +3 more
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A posteriori error estimation for stochastic static problems [PDF]
, 2014 To solve stochastic static field problems, a discretization by the Finite Element Method can be used. A system of equations is obtained with the unknowns (scalar potential at nodes for example) being random variables. To solve this stochastic system, the
MAC, Hung, CLENET, Stephane
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Data-driven sparse polynomial chaos expansion for models with dependent inputs
Journal of Safety Science and Resilience, 2023 Polynomial chaos expansions (PCEs) have been used in many real-world engineering applications to quantify how the uncertainty of an output is propagated from inputs by decomposing the output in terms of polynomials of the inputs.
Zhanlin Liu, Youngjun Choe
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