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Titre : Etude des machines électriques par CAO Type de document : texte imprimé Auteurs : Mimi Belatel ; Université Mentouri, Editeur scientifique ; Hocine Benalla, Directeur de thèse Année de publication : 2009 Importance : 151 f. Note générale : 01 Disponible à la salle de recherche 02 Disponibles au magazin de la B.U.C. 01 CD Langues : Français (fre) Tags : Réseaux de Neurones CAO Machines électriques Eléments finis de frontières Energie éolienne Matlab/Flux 2D Index. décimale : 622 Electro-Technique Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=366 Etude des machines électriques par CAO [texte imprimé] / Mimi Belatel ; Université Mentouri, Editeur scientifique ; Hocine Benalla, Directeur de thèse . - 2009 . - 151 f.
01 Disponible à la salle de recherche 02 Disponibles au magazin de la B.U.C. 01 CD
Langues : Français (fre)
Tags : Réseaux de Neurones CAO Machines électriques Eléments finis de frontières Energie éolienne Matlab/Flux 2D Index. décimale : 622 Electro-Technique Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=366 Exemplaires
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Titre : Etude des machines électriques PAR CAO Type de document : texte imprimé Auteurs : Mimi Belatel, Auteur ; Hocine Benalla, Directeur de thèse Editeur : Constantine : Université Mentouri Constantine Année de publication : 2009 Importance : 152 f. Format : 31 cm Note générale : Doctorat en sciences
2 copies imprimées disponiblesLangues : Français (fre) Tags : Conception assistée par ordinateur Machines électriques la méthode des éléments finis de frontières Energie éolienne Optimisation Réseaux de neurone Matlab/Flux 2D. Electro-technique Index. décimale : 622 Electro-Technique Diplôme : Doctorat en sciences En ligne : ../theses/electrotec/BEL5338.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=5809 Etude des machines électriques PAR CAO [texte imprimé] / Mimi Belatel, Auteur ; Hocine Benalla, Directeur de thèse . - Constantine : Université Mentouri Constantine, 2009 . - 152 f. ; 31 cm.
Doctorat en sciences
2 copies imprimées disponibles
Langues : Français (fre)
Tags : Conception assistée par ordinateur Machines électriques la méthode des éléments finis de frontières Energie éolienne Optimisation Réseaux de neurone Matlab/Flux 2D. Electro-technique Index. décimale : 622 Electro-Technique Diplôme : Doctorat en sciences En ligne : ../theses/electrotec/BEL5338.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=5809 Exemplaires
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Titre : Classification automatique des défauts des moteurs asynchrones Type de document : texte imprimé Auteurs : Abla Bouguerne, Auteur ; Abdesselam Lebaroud, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2017 Importance : 163 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles
Langues : Français (fre) Tags : Classification automatique moteurs asynchrones machines électriques Index. décimale : 622 Electro-Technique Résumé : The diagnosis of bearings defects in electric machines has become an important area
of research in recent years. Most studies on the detection of bearing faults using vibration
measurements descended from sensors placed close to the mechanical elements to be
monitored. For this reason, the work of this thesis focused on the automatic classification of
bearing defects of the asynchronous machine with squirrel cage.
We proposed a clustering approach to bearing defects. This approach is based on five
steps: The first step uses the decomposition of the empirical method to separate each vibration
signal in the different intrinsic mode functions, where each mode is in a specific frequency
band. The second step extracts amplitudes and instantaneous frequencies for each mode in
order to identify its frequency band by calculating the Hilbert marginal spectrum. The third
step, the feature extraction phase is carried out by using the energy operator Teager-Kaiser
(TKEO) .In the fourth step, vectors forms extracted was optimized from optimization by
particle swarm which is a stochastic optimization method developed, based on the
reproduction of social behavior. Finally, the final step relates to the automatic classification of
optimized vectors that can be achieved through the Gaussian mixture model algorithm. This
will make the relevance of attributes and automatically selection and classification of bearings
defects in asynchronous electric machines.Diplôme : Doctorat en sciences En ligne : ../theses/electrotec/BOU7032.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=10567 Classification automatique des défauts des moteurs asynchrones [texte imprimé] / Abla Bouguerne, Auteur ; Abdesselam Lebaroud, Directeur de thèse . - [S.l.] : جامعة الإخوة منتوري قسنطينة, 2017 . - 163 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Tags : Classification automatique moteurs asynchrones machines électriques Index. décimale : 622 Electro-Technique Résumé : The diagnosis of bearings defects in electric machines has become an important area
of research in recent years. Most studies on the detection of bearing faults using vibration
measurements descended from sensors placed close to the mechanical elements to be
monitored. For this reason, the work of this thesis focused on the automatic classification of
bearing defects of the asynchronous machine with squirrel cage.
We proposed a clustering approach to bearing defects. This approach is based on five
steps: The first step uses the decomposition of the empirical method to separate each vibration
signal in the different intrinsic mode functions, where each mode is in a specific frequency
band. The second step extracts amplitudes and instantaneous frequencies for each mode in
order to identify its frequency band by calculating the Hilbert marginal spectrum. The third
step, the feature extraction phase is carried out by using the energy operator Teager-Kaiser
(TKEO) .In the fourth step, vectors forms extracted was optimized from optimization by
particle swarm which is a stochastic optimization method developed, based on the
reproduction of social behavior. Finally, the final step relates to the automatic classification of
optimized vectors that can be achieved through the Gaussian mixture model algorithm. This
will make the relevance of attributes and automatically selection and classification of bearings
defects in asynchronous electric machines.Diplôme : Doctorat en sciences En ligne : ../theses/electrotec/BOU7032.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=10567 Exemplaires
Code-barres Cote Support Localisation Section Disponibilité aucun exemplaire Etude de l’influence des paramètres géométriques et de contrôle sur les performances des MRV cylindriques / Fares Rebahi
Titre : Etude de l’influence des paramètres géométriques et de contrôle sur les performances des MRV cylindriques Type de document : texte imprimé Auteurs : Fares Rebahi, Auteur ; Ammar Bentounsi, Directeur de thèse Editeur : جامعة الإخوة منتوري قسنطينة Année de publication : 2016 Importance : 173 f. Format : 30 cm. Note générale : 2 copies imprimées disponibles
Langues : Français (fre) Tags : Machines électriques Machine à réluctance variable optimisation multi-objectif PSO AG, méthode
éléments finis paramètres géométriques propriétés matériaux pertes magnétiques couple Switched reluctance motor (SRM) multi-objective optimization GA finite
element analysis FEA geometrical parameters magnetic losses torque to weight ??? ???????? ???????? ????????? ??????? ????? ??????? ???????? ???????? ???????? ??????? ??????????? ????? ??????Index. décimale : 622 Electro-Technique Résumé : With advances in the fields of power electronics, control, magnetic materials, models and simulation software, and its many advantages (simple construction and robust, reliability, performance, cost, ...), the switched reluctance machine (SRM) continues to find niche applications both high speed (electric traction, embedded applications, ...), at low speed and high torque (direct drive wind turbines). Hence the interest for this type of machine, the research team which was prepared this Phd thesis wants a contribution to the improved performance in terms of average torque, torque to weight or electromagnetic characteristics for two prototype SRM 6/4 and 8/6 double salience. The approach was to first perform a comprehensive literature search of magnetic materials and their physical properties to examine their impacts on the electromagnetic characteristics and loss of MRV. This step is followed by analytical pre-sizing of the proposed prototype which allowed calculation of the geometrical parameters. The next step was to create a finite element model of the machine in saturated state using the software FEMM coupled with MATLAB in order to easily perform simulations in interactive mode.
These models and software have allowed us to analyze, on the one hand, the impact of various physical properties of magnetic materials on the electromagnetic characteristics of the SRM and calculate the losses associated according by three different methods and, on the other hand, to implement three algorithms (GA, PSO and DE) mono- and multi-objective optimization of the geometric parameters of the two prototypes considered. The results of different simulations realized in FEMM – MATLAB have been discussed and have significantly improved the average
torque and torque to weight.
This work is now continued to optimize various control parameters of the converter associated with the SRM.Diplôme : Doctorat en sciences En ligne : ../theses/electrotec/REB6910.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=10245 Etude de l’influence des paramètres géométriques et de contrôle sur les performances des MRV cylindriques [texte imprimé] / Fares Rebahi, Auteur ; Ammar Bentounsi, Directeur de thèse . - [S.l.] : جامعة الإخوة منتوري قسنطينة, 2016 . - 173 f. ; 30 cm.
2 copies imprimées disponibles
Langues : Français (fre)
Tags : Machines électriques Machine à réluctance variable optimisation multi-objectif PSO AG, méthode
éléments finis paramètres géométriques propriétés matériaux pertes magnétiques couple Switched reluctance motor (SRM) multi-objective optimization GA finite
element analysis FEA geometrical parameters magnetic losses torque to weight ??? ???????? ???????? ????????? ??????? ????? ??????? ???????? ???????? ???????? ??????? ??????????? ????? ??????Index. décimale : 622 Electro-Technique Résumé : With advances in the fields of power electronics, control, magnetic materials, models and simulation software, and its many advantages (simple construction and robust, reliability, performance, cost, ...), the switched reluctance machine (SRM) continues to find niche applications both high speed (electric traction, embedded applications, ...), at low speed and high torque (direct drive wind turbines). Hence the interest for this type of machine, the research team which was prepared this Phd thesis wants a contribution to the improved performance in terms of average torque, torque to weight or electromagnetic characteristics for two prototype SRM 6/4 and 8/6 double salience. The approach was to first perform a comprehensive literature search of magnetic materials and their physical properties to examine their impacts on the electromagnetic characteristics and loss of MRV. This step is followed by analytical pre-sizing of the proposed prototype which allowed calculation of the geometrical parameters. The next step was to create a finite element model of the machine in saturated state using the software FEMM coupled with MATLAB in order to easily perform simulations in interactive mode.
These models and software have allowed us to analyze, on the one hand, the impact of various physical properties of magnetic materials on the electromagnetic characteristics of the SRM and calculate the losses associated according by three different methods and, on the other hand, to implement three algorithms (GA, PSO and DE) mono- and multi-objective optimization of the geometric parameters of the two prototypes considered. The results of different simulations realized in FEMM – MATLAB have been discussed and have significantly improved the average
torque and torque to weight.
This work is now continued to optimize various control parameters of the converter associated with the SRM.Diplôme : Doctorat en sciences En ligne : ../theses/electrotec/REB6910.pdf Format de la ressource électronique : Permalink : https://bu.umc.edu.dz/md/index.php?lvl=notice_display&id=10245 Exemplaires
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