G
Georges Barakat
Researcher at University of Le Havre
Publications - 125
Citations - 2244
Georges Barakat is an academic researcher from University of Le Havre. The author has contributed to research in topics: Magnet & Stator. The author has an hindex of 23, co-authored 120 publications receiving 1969 citations. Previous affiliations of Georges Barakat include Renault.
Papers
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Journal ArticleDOI
Deterministic Optimization and Cost Analysis of Hybrid PV/Wind/Battery/Diesel Power System
TL;DR: In this article, a deterministic approach for optimum sizing of the hybrid power systems (PV/wind/battery/diesel and PV/Wind/diesels) based on the DIviding RECTangles (DIRECT) algorithm, which can attain the optimum values of commercially available system devices ensuring that the system total investment cost is minimized while guaranteeing the electricity requirements of the customers and the safety of the system.
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Comparison of hybrid analytical modelling and reluctance network modelling for pre-design purposes
TL;DR: It is shown that the new hybrid analytical model allows to combine advantages of analytical and reluctance networks modelling, and helps reduce calculation time and gives good results.
Proceedings ArticleDOI
Quasi-3D analytical modeling of the magnetic field of an axial flux permanent magnet synchronous machine
TL;DR: In this paper, a quasi-three-dimensional analytical model of the magnetic field in an axial flux permanent magnet synchronous machine (AFPMSM) is presented, which is derived from an exact 2D analytical solution of magnetic field extended to the 3D case by a simple and effective radial dependence modeling.
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Vibration-based Fault Diagnosis Approach for Permanent Magnet Synchronous Motors
TL;DR: In this article, the authors proposed a fault detection and diagnosis approach for Permanent Magnet Synchronous Machines (PMSMs) based on vibration signals analysis, by considering the entire stator structure.
Journal ArticleDOI
An accurate model of squirrel cage induction machines under stator faults
TL;DR: An accurate transient model of squirrel cage induction machines under stator faults is presented here and a coupled magnetic circuits approach is used and very few restrictive assumptions are made.