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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.

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Proceedings ArticleDOI

Magneto-vibro-acoustic analysis of a discoidal switching flux permanent magnet machine dedicated to wind turbine application

TL;DR: In this article, the vibro-acoustic behavior of a three-phase discoidal switching flux permanent magnet machine (DSFPM) due to its electromagnetic origins is investigated. And the results show the effectiveness of the modal superposition model in terms of precision and computation time.
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Electrical Generators for Large Wind Turbine: Trends and Challenges

TL;DR: In this paper , the authors present an overview of the emerging trends in the development of electrical generators for large wind turbines, and a comparative analysis of different electrical generator concepts is performed, and the generators are assessed upon a list of criteria such as the mass, cost, and mass-to-torque ratio.
Journal ArticleDOI

Analytical Modeling of Flat and Tubular Linear PM Machines with Surface-Mounted Magnets and Semi-Closed Slots

TL;DR: An exact 2D analytical model for predicting the magnetic field in idealized structures of flat and tubular linear permanent magnet machines with surface-mounted magnets and semi-closed slots is described in this article.
Proceedings ArticleDOI

Modeling and Test of a PM Synchronous Generator Based Small Stand Alone Wind Energy Converter

TL;DR: In this article, a special attention is given to incorporate the saturation effect in the permanent magnet synchronous generator (PMSG) model and the obtained model is used to analyze the dynamic behavior of this WEC face to typical wind site profile and a variable electrical load.
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Coupled magnetic circuit method and permeance network method modeling of stator faults in induction machines

TL;DR: In this paper, the authors compare two modeling methods of the inter-turn short circuit fault in the stator winding of a cage induction machine, Coupled Magnetic Circuit Method (CMCM) and Permeance Network Method (PNM) which allows taking into account the saturation effect on the fault signature.