peer reviewedIn this work, fast stochastic surrogate models are derived for extracting RL parameters of wound inductors using the Finite Element method. To this end, the Representative Volume Element (RVE) technique is employed to convert the geometrical uncertainties (e.g. due to conductor positions in the winding window) into material uncertainties (complex permeability and conductivity). The dimensionality of the stochastic input space is in that way reduced, thereby allowing the use of the Polynomial Chaos Expansion (PCE) technique for building the stochastic surrogate
This paper provides and compares two alternative solutions for the simulation of cables and intercon...
In this paper, we present a framework to deal with uncertainty quantification in case where the rang...
Stochastic models are developed to investigate mechanical and biomedical structures with uncertainti...
This paper introduces a fast stochastic surrogate modeling technique for the frequency-domain respon...
In this work, we highlight the influence of the material uncertainties (magnetic permeability, elect...
Nowadays, computational models are used in virtually all fields of applied sciences and engineering ...
Computational models are used in virtually all fields of applied sciences and engineering to predict...
This paper presents a numerical procedure for the calculation of the polynomial chaos (PC)-expansion...
Nowadays computational models are used in virtually all fields of applied sciences and engineering t...
Electrical machines with stranded random windings often suffer from considerable circulating current...
| openaire: EC/H2020/339380/EU//ALEMRandom-wound electrical machines often suffer from high circulat...
The presented doctoral thesis is focused on the development of theoretical methods for probabilistic...
This thesis presents a set of tools and methodologies that perform fast stochastic characterization ...
This paper presents a systematic approach for the statistical simulation of nonlinear networks with ...
In electromagnetism, for most numerical models (so-called deterministic models) solving Maxwell Equa...
This paper provides and compares two alternative solutions for the simulation of cables and intercon...
In this paper, we present a framework to deal with uncertainty quantification in case where the rang...
Stochastic models are developed to investigate mechanical and biomedical structures with uncertainti...
This paper introduces a fast stochastic surrogate modeling technique for the frequency-domain respon...
In this work, we highlight the influence of the material uncertainties (magnetic permeability, elect...
Nowadays, computational models are used in virtually all fields of applied sciences and engineering ...
Computational models are used in virtually all fields of applied sciences and engineering to predict...
This paper presents a numerical procedure for the calculation of the polynomial chaos (PC)-expansion...
Nowadays computational models are used in virtually all fields of applied sciences and engineering t...
Electrical machines with stranded random windings often suffer from considerable circulating current...
| openaire: EC/H2020/339380/EU//ALEMRandom-wound electrical machines often suffer from high circulat...
The presented doctoral thesis is focused on the development of theoretical methods for probabilistic...
This thesis presents a set of tools and methodologies that perform fast stochastic characterization ...
This paper presents a systematic approach for the statistical simulation of nonlinear networks with ...
In electromagnetism, for most numerical models (so-called deterministic models) solving Maxwell Equa...
This paper provides and compares two alternative solutions for the simulation of cables and intercon...
In this paper, we present a framework to deal with uncertainty quantification in case where the rang...
Stochastic models are developed to investigate mechanical and biomedical structures with uncertainti...