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Your search keyword '"Morganti, Fabrice"' showing total 21 results
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21 results on '"Morganti, Fabrice"'

1. Time series classification with random convolution kernels based transforms: pooling operators and input representations matter

Author

Lo, Mouhamadou Mansour, Morvan, Gildas, Rossi, Mathieu, Morganti, Fabrice, and Mercier, David

Subjects
Computer Science - Machine Learning
Abstract

This article presents a new approach based on MiniRocket, called SelF-Rocket, for fast time series classification (TSC). Unlike existing approaches based on random convolution kernels, it dynamically selects the best couple of input representations and pooling operator during the training process. SelF-Rocket achieves state-of-the-art accuracy on the University of California Riverside (UCR) TSC benchmark datasets.

Published
2024

3. High-power density induction machines with increased windings temperature

Author

Laidoudi Aicha, Duchesne Stéphane, Morganti Fabrice, and Velu Gabriel

Subjects
induction machine, high temperature, current density, power-to-weight ratio, machine efficiency, Physics, QC1-999
Abstract

The increase of the operating temperature of electrical machines is a major challenge in the context of the large-scale use of electricity in many industrial or individual applications such as mobility. Indeed, working at higher temperatures makes it possible to place electrical actuators in critical areas – such as aircraft engines, for example – and/or to significantly improve the power-to-weight ratio of the machine. For several applications (deep pumping, ventilation, etc.), the use of the induction machine is still preferred due to cost, simplicity and robustness essentially. The objective of this study is to estimate the possibilities of making a high-temperature squirrel cage induction machine. A significant increase in the operating temperature of a machine would indirectly allow us to envisage an increase in the current density in the active conductors and thus a significant improvement in the power-to-weight ratio. However, this is at the sacrifice of efficiency. The aim of this study is to evaluate this decrease in efficiency correlated with the increase in the temperature to find the best compromise according to the relevant applications. An analytic sizing model has been proposed for the prediction of losses, which will be coupled with a thermal model to predict the temperature in different parts of the machine. This study presents essential information on the influence of temperature on the parameters important for the performance of an induction machine.

Published
2020
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14. Simulation électromécanique 3D d'un conducteur 1+6 avec prise en compte des résistances de contact inter-brins

Author

Zeroukhi, Youcef, Napieralskajuszczak, Ewa, Morganti, Fabrice, Vega, Guillaume, Komeza, Kristof, Laboratoire Systèmes Electrotechniques et Environnement (LSEE), Université d'Artois (UA), and Sciencesconf.org, CCSD

Subjects
[SPI.NRJ]Engineering Sciences [physics]/Electric power, [SPI.NRJ] Engineering Sciences [physics]/Electric power
Abstract

Dans cet article, nous proposons une méthode d'analyse par éléments finis 3D, pour prédire le comportement électrique d'un conducteur (1+6). La performance d'un conducteur dépend de la nature du matériau, de son état métallurgique mais aussi de la résistance électrique des zones de contact inter-fils. Dans ce travail, une première analyse mécanique permet de reproduire le processus de câblage pour déterminer les déformations élasto-plastiques des fils, la forme et les forces de pressions dans les interfaces de contact. Une seconde analyse électrique est menée pour déterminer la résistance électrique du conducteur déformé. La résistance de contact tangentielle et radiale est alors prise en compte.

Published
2014

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