Results 151 to 160 of about 1,853,583 (196)

Machine asynchrone

1995
Le contrôle de toute machine est basé sur un modèle caractérisé par un ensemble de paramètres. Dans ce travail on propose et on compare différentes méthodes d'identification des modèles de la machine asynchrone. Le problème principal consiste à choisir un modèle et à en identifier les paramètres pour traduire au mieux les comportements de la machine ...
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Handbook of Asynchronous Machine with Variable Speed

2013
This handbook deals with the asynchronous machine in its close environment. It was born from a reflection on this electromagnetic converter whose integration in industrial environments takes a wide part. Previously this type of motor operated at fixed speed, from now on it has been integrated more and more in processes at variable speed.
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Identification of asynchronous machines

2020
72
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Asynchronous Machines

2022
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The Cost of Privacy in Asynchronous Differentially-Private Machine Learning

IEEE Transactions on Information Forensics and Security, 2021
Farhad Farokhi, David Smith, Mohamed Ali Kaafar   +2 more
exaly  

Dynamic Performances of Asynchronous Machines

2013
The dynamic performance of electrical machines is affected by low and unbalanced voltages, frequency variations in its supply systems and pulsating load torques. In this paper the d-q axis model in the synchronous reference frame is used in the dynamic analysis on the performance of an asynchronous machine working under a no- load, unbalanced voltages ...
Ubeku, EU, Igbinovia, SO
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Asynchronous Machine With Ferrofluid in Gap: Modeling, Simulation, and Analysis

IEEE Transactions on Magnetics, 2020
Guanbao Zeng, Huajie Yin
exaly  

Comparative Study Between Fuzzy Logic and PI Controller in Vector-Controlled Asynchronous Machine

Advances in Science, Technology and Innovation, 2022
Abdelkader Harrouz
exaly  

Asynchronous queue machines with explicit forwarding.

2004
http://www.youtube.com/watch?v=SJaMtBKnN ...
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Asynchronous optimization for machine learning

Optimisation asynchrone pour l'apprentissage statistique Les explosions combinées de la puissance computationnelle et de la quantité de données disponibles ont fait des algorithmes les nouveaux facteurs limitants en machine learning.
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