Tesis sobre el tema "Phare intelligent"
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De, Charette Raoul. "Algorithmes de vision pour la pluie et les feux tricolores pour les systèmes d'aide à la conduite". Phd thesis, Ecole Nationale Supérieure des Mines de Paris, 2012. http://pastel.archives-ouvertes.fr/pastel-00802707.
Texto completoWebster, Paul Michael. "Magnetic sensing and intelligent modeling of steel phase transformations". Thesis, University of Sheffield, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.411975.
Texto completoLafaye, Christophe. "La phase de traque d'information sur internet dans un processus de veille stratégique : une approche longitudinale centrée sur les agents intelligents". Lyon 3, 2004. http://www.theses.fr/2004LYO33030.
Texto completoInternet changes the paradigm of organizational information. Internet is, indeed, a new field of strategic informations to the environmental scanning process. Nevertheless, the activity of information acquisition is a complex and hard one on Internet. That's why, intelligent agents had been created to help gatekeepers. Our research deals with general dynamics of assimilation of this tool in an organizational context
Belaroussi, Mohamed. "Intelligent real-time microcontroller of pulsewidth modulation controlled three-phase induction motors". Thesis, Robert Gordon University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303619.
Texto completoNygren, Patrik. "Bioorganisk fastfas syntes för att skapa intelligenta ytor". Thesis, Linköping University, The Department of Physics, Chemistry and Biology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2272.
Texto completoThis thesis investigates three different surface modifications, and the route to design and synthesize them. The thesis is therefore divided into three sub- projects. (i.) Design and synthesis of a peptide which secondary structure could be controlled by a negatively charged surface. (ii.) Design and synthesis of a cyclic peptide, that would self-organize prior to surface interaction, using the type I anti-freeze protein of a winter flounder as template. (iii.) The use of solid-phase synthesis to make the synthesis of SAM-molecules easier.
Melester, M. T. y M. S. Geoghegan. "An Intelligent Digital Phase-Locked Loop with Integral Gain Control, Signal Quality and Lock Detection". International Foundation for Telemetering, 1988. http://hdl.handle.net/10150/615089.
Texto completoAn intelligent digital phase-locked loop with integral automatic gain control, signal quality and lock detection suitable for implementation using current digital signal processing devices is presented. By exploiting information derived from these functions operating in unison, it is possible to realize improved performance in an adverse environment where fading or abrupt signal outages are encountered. The system described consists of several functions operating under the direction of a stored program. The state diagram model of the program is discussed along with design considerations for the system elements. Various aspects of the system are simulated in the presence of noise and signal outage and compared to the performance of a conventional phase-locked loop.
Zhao, Yuting. "Answer set programming : SAT based solver and phase transition /". View abstract or full-text, 2003. http://library.ust.hk/cgi/db/thesis.pl?COMP%202003%20ZHAOY.
Texto completoBuddemeyer, Jenna Leigh. "Variable speed limit decision support system for the Elk Mountain corridor phase 1". Laramie, Wyo. : University of Wyoming, 2009. http://proquest.umi.com/pqdweb?did=2065749141&sid=1&Fmt=2&clientId=18949&RQT=309&VName=PQD.
Texto completodu, Plessis Laura. "Using emotional intelligence to support learners with Autism Spectrum Disorder in the Foundation Phase". Diss., University of Pretoria, 2017. http://hdl.handle.net/2263/60939.
Texto completoDissertation (MEd)--University of Pretoria, 2017.
Early Childhood Education
MEd
Unrestricted
Ouali, Mohammed El Habib. "Méthodes d'intégration des estimations multi-échelles de la disparité à partir de la phase du filtre de Gabor : algorithmes et évaluations". ENSMP, 2000. http://www.theses.fr/2000ENMP0977.
Texto completoWe propose a new methodology of multiscale phase difference-based disparity integration. Usually, the disparity map obtained with unique filter exhibits a poor density. Moreover, the disparity s not reliable everywhere because of the presence of the unwanted phase singualarities effects. Its is then natural to use other filter tunings, e. G. Scales, to avoid these singularities in order to improve the density and the precision of the disparity maps. To overcome these problems, the algorithms proposed in the literature use palliatives : the disparity is computed as a weighted average of the multiscale estimates, a coarse-to-fine strategy or, finally, an iterative calculation. , like for example Newton iterations, to refine the solution. As these palliatives present drawabacks, we propose to use explicit mechanisms for the multiscale selection. This approach is in total agreement with recent works of Koenderink and Lindeberg. In our case, we use the magnitudes of the filter response as well as the relative distance between the instantaneous frequency observed and the filter peak frequency as fusion parameters of the multiscale estimates. However, this suppose that we have an estimate with all the scales considered. To satisfy this condition, we propose to use the derivative of the original signal. We observe that the singularities are not with the same positions according to wheter we use the signal or its derivative of order N. We also propose a quadratic model to determine the singularities neighborhoods without detecting these singularities. Finally, we present the non-contextual and contextual algorithms evaluation where we show its importance, on the one hand to guide search and on the other hand in the transfer of the algorithms towards industry
Jaeger, Laure. "Optimisation multidisciplinaire sous incertitude en phase conceptuelle avion". Toulouse 3, 2013. http://thesesups.ups-tlse.fr/2289/.
Texto completoThese researches concern multidisciplinary optimization deployed in the design of complex systems. They are particularly focused on aircraft design. At this stage of the design, the uncertainties are significant. Effective new methods of modeling and uncertainty propagation are proposed to develop a reliable and robust system. They use techniques of adaptive modeling, optimization algorithms and classical techniques based on artificial intelligence (multi-agent systems)
Kralj, S. (Sara). "Cognitive-emotional interplay:implications for children’s development of self-aware emotion regulation as the last developmental phase of emotional intelligence". Bachelor's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201606042303.
Texto completoBarger, Pavol. "Evaluation et validation de la fiabilité et de la disponibilité des systèmes d'automatisation à intelligence distribuée, en phase dynamique". Nancy 1, 2003. http://www.theses.fr/2003NAN10222.
Texto completoThe control systems dependability study is a task in which different characteristics have to be taken into account, such as functioning modes, communication network presence, etc. Some study methods exist but their application fields cannot represent the system globally. The approach proposed is based on the dynamic behavior analysis considering both functional and malfunctional behavior with a focus on the dynamic system configuration (state/phase). Colored Petri Nets (CPN) are used for modeling. Monte Carlo simulation is the main analysis method and is implemented in the Design/CPN software. The main study results include a proposition of system components models and the subsequent analysis by simulation. The original contribution is the proposition of one unified approach enabling the components modeling as well as their connection while using one single tool and expressing the viewpoints common to three areas: control systems, computer engineering and dependability assessment
Oberholzer, Jan Adriaan. "Die invloed van persoonlikheid op die studiehouding van 'n groep kinderhuiskinders / Jan Adriaan Oberholzer". Thesis, Potchefstroom University for Christian Higher Education, 1997. http://hdl.handle.net/10394/7844.
Texto completoThesis (MEd)--PU for CHE, 1998
Jaeck, Vincent. "Développement d’antennes de communication reconfigurables en bande C pour munitions intelligentes". Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S104/document.
Texto completoNowadays wireless communications have become a useful and universal mean to exchange a wide range of information between different systems, some of them being moving, as UAVs among others. In this context we consider here the link between a projectile and a base station. The shape of the structure and the aerodynamic constraints involve the use of patch antennas in the conical front part. This class of antenna is easy to be integrated into the platform as a conformal array, while respecting space constraint. Communications have to be reliable and discrete in disturbed or hostile environment. Antennas array radiation patterns must have some specific characteristics, in particular in the case of flying objects with spin which involves the use of a switched phased array considering its roll position. A fixed-radiation pattern antenna may presents a relevant level or gain toward the interlocutor, but also toward sensitive directions, in which may be located others systems, interfering with the current communication. The solution to switch on and off vertical sub-arrays to steer the beam in the azimuthal plane seem convenient ant fitting the requirements of rotating platform. A conical phased array was studied and two prototypes were manufactured, one at ISL. Sub-arrays are distributed around the conical shape in order to be able to radiate in each direction. Moreover, each sub-array are composed of three radiating elements allowing to steer the main antenna beam in many direction (along the projectile fuze axes). A beam forming network was developed to control the 12 radiating elements conical array. The antenna array and the feeding network were characterized independently in order to optimized the phase of each radiating element. Finally, measurements were done on the whole system in the DGA-MI and ISL anechoic chambers and are in good agreement with simulation results
Denis, Gil y Alain Pizzinato. "Prise de décision et intelligence artificielle dans les sports d'opposition : Exemple de la phase de service-retour de service en tennis". Nancy 1, 1992. http://docnum.univ-lorraine.fr/public/SCD_T_1992_0063_DENIS_PIZZINATO.pdf.
Texto completoRagb, Hussin Khalifa Alfitouri. "Multi-Hypothesis Approach for Efficient Human Detection in Complex Environment". University of Dayton / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1541210403653549.
Texto completoFadlallah, Najib. "Contribution à l'optimisation de la synthèse du lobe de rayonnement pour une antenne intelligente : Application à la conception de réseaux à déphasage". Limoges, 2005. http://aurore.unilim.fr/theses/nxfile/default/2b3c153f-58e2-4152-a5cd-53cf1fc0ae35/blobholder:0/2005LIMO0008.pdf.
Texto completo. This report joins within the framework of a project CEDRE (Collaboration between the University of Limoges and the Lebanese university) on the topic of the intelligent antennas in the radio mobile communications. Work consisted with a contribution to the optimization of the lobe of radiation for an intelligent antenna. Two complementary approaches were developed to implement the technique of forming of the lobe, one based on an algorithm of optimization which calculates the phases of the excitations according to the specifications desired (pointed lobe, multiple lobes and creation of the zeros) and the other using the results of the first technique to implement a model with networks of neurons. The first method has a disadvantage concerning the computing time (some seconds), the second is almost an application in real time. The taking into account of the effect of coupling on the radiation was implemented directly in technique of synthesis, and a practical validation of this effect was carried out. Many measurements of an antenna arrays 8 elements, excited only in phase, made it possible to validate our developed tools
Miftah, el kheir Laila. "Smart devices for biomedical applications". Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCD054.
Texto completoSmart Devices have been widely used by health care and cosmetics professionals. Indeed, they helpin many aspects of clinical practice by providing an efficient way for medical diagnosis, supportingbetter clinical decision-making and improving patient outcomes. In this thesis, we have beeninterested in three applications. The first one is related to the wettability measurement, especially forthe human skin. So we propose, a held-hand device that is based on the contact angle measurementto determine skin wettability. Besides, the device allows the visualization of the liquid dropletspreading in both dynamic and static modes. Moreover, it can measure the top and the left views ofthe droplet and provides the 3D droplet and the skin explored area profiles. The second applicationpermits the skin radiance measurement. For this purpose, we propose a miniaturized device havingan original method for the BRDF measurement associated with 3D profile measurement of the areastudied. As regards the third application, it is a non-invasive method for breath measurement that usesa stereovision system and a pseudo-periodic pattern. This system allows a high-resolution threedimensionaldisplacement measurement for the recording of the thoracoabdominal wall respiratorymovement. The devices developed during this research gives us a high accuracy, a good resolutionand repeatability of measurements
Souza, Kleymilson do Nascimento. "Optimization in calculation of active part three phase distribution transformer with use genetic algorithms aiming better efficiency and less cost". Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=8364.
Texto completoThe present work is a study of a methodology that seeks to be more economical and efficient compared to traditional methods, the design of three phase distribution transformers. To this end, we use a tool of Computational Intelligence, based on previous calculations made in the traditional way by manufacturing industries and books that address this matter. It is evident here, another way to design the active part of the transformer, the dimension of the core and coil, for this, used Genetic Algorithms (GA) which will assist in the calculation and selection of parameters, providing the best choice of design of the transformer, minimizing, on average, 5% in the cost and losses in 2.5% as input parameters the following standard. With changes in the fitness function of GA, one can simply adapt to new requirements and standards. As a result of using the genetic algorithm can find a design solution that is more efficient than that used by the manufacturers. The losses calculated values meet established by NBR-5440.
O presente trabalho faz um estudo de uma metodologia que busca ser mais econÃmica e eficiente, em comparaÃÃo com mÃtodos tradicionais, no projeto de transformadores de distribuiÃÃo trifÃsico. Para tal, utiliza-se uma ferramenta de InteligÃncia Computacional, tendo como base cÃlculos anteriores feitos de forma tradicional por indÃstrias fabricantes e livros que tratam desse assunto. Evidencia-se, aqui, mais uma maneira de projetar a parte ativa do transformador, ou seja, o dimensionamento do nÃcleo e bobinas; para isso, utiliza-se Algoritmos GenÃticos (GA), que irÃo auxiliar no cÃlculo e escolha dos parÃmetros, proporcionando a melhor escolha do projeto do transformador, minimizando, em mÃdia, o custo em 5 % e as perdas em 2,5 %, conforme parÃmetros de entrada seguindo a norma. Com modificaÃÃes na funÃÃo de fitness do GA, pode-se adequar de maneira simples a novas exigÃncias e normas. Como consequÃncia da utilizaÃÃo do Algoritmo GenÃtico pode-se encontrar uma soluÃÃo de projeto que à mais eficiente do que a utilizada pelos fabricantes. As perdas calculadas atendem valores estabelecidos pela norma NBR-5440.
Sari-Bey, Sana. "Mise au point de nouveaux matériaux à changement de phase pour optimiser les transferts énergétiques". Thesis, Paris Est, 2014. http://www.theses.fr/2014PEST1158.
Texto completoResearch in the field of innovative materials with improved energy efficiency have a major environmental issue. One way to save energy is storage. The use of phase change materials (PCM) is a solution for absorbing, storing and releasing large amounts of energy. This study focuses on the experimental study of the thermophysical properties and phase changes of polymer matrix composite materials containing microencapsulated PCM and the optimization of their thermophysical properties. Composite containing different mass fractions of paraffin microcapsules were first characterized. To improve heat transfer, paraffin microcapsules metallized with silver were then used. A new set of samples was elaborated. In the composite the selected polymer matrix is polycaprolactone (PCL), this polymer has a particularly low melting point (53°C), which allows to mix the microcapsules without damaging them. The polymer/microcapsules mixtures were prepared using a blender, they were then pressed to obtain plates of composites. The homogeneity of the samples was verified by scanning electron microscopy observations and density measurements. The phase change material used is a mixture of paraffins having a phase change temperature of 26°C, in microencapsulated highly crosslinked PMMA, and marketed by BASF under the trade name of Micronal®DS 5001 X. PCL has a melting temperature lower than the softening temperature of PMMA. One objective of this study was to obtain a material that remains solid even when the paraffin melts. Microencapsulation has avoided that the paraffin in the sample diffuses out during successive cycles, it also avoids convection when paraffin is liquid. On the other hand, another goal was to see if metallization of the particles allowed to improve the thermal properties by significantly increasing the thermal conductivity and diffusivity. DSC was used to determine the temperatures and enthalpies of the phase changes and the materials Cp between -20 and 40 ° C. An experimental technique, developed in the laboratory (DICO), can simultaneously measure the thermal conductivity (λ) and thermal diffusivity (a) at room temperature. A recent development of this system now allows to make measurements in ramp between -15°C and 180°C. The measures of the change in thermal conductivity and diffusivity as a function of temperature have been carried out by heating and cooling. Phase changes observed in DSC are found on the evolution of thermal conductivity and thermal diffusivity plotted as a function temperature. It also shows the impact on these properties of solid or liquid state of the paraffin contained in the microcapsules. Finally the evolution of the volumetric heat capacity was calculated from the results obtained with DICO (Cp=λ/a) and compared with the evolution of the specific heat capacity measured by DSC. Globally, heat transfer was improved for composites containing silver but their storage capacity is lower than for the composites containing only Micronal®
Minotti, Cristiano. "Estimador fuzzy de velocidade para motores de indução trifásicos usando abordagem sensorless". Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-15102008-135246/.
Texto completoThe use of sensorless technologies is an increasing tendency on industrial drives for electrical machines. The estimation of electrical and mechanical parameters involved with the electric machine control is used very frequently in order to avoid measurement of all variables from this process. The cost reduction may also be considered in industrial drives, besides the increasing robustness of the system, as advantages of the use of sensorless technologies. This work proposes the use of fuzzy logic to estimate the speed in three-phase induction motors. Simulation results are presented to validate the proposed approach and comparative analyses with other intelligent techniques are also outlined.
Batista, Luciana [UNESP]. "A gênese da organização fonético-fonológica da fala". Universidade Estadual Paulista (UNESP), 2005. http://hdl.handle.net/11449/91257.
Texto completoA fala ou a necessidade de conversar não nasce bruscamente quando a criança emite suas primeiras palavras. O marco da aquisição dos fonemas, geralmente, é datado ao redor dos dezoito a vinte quatro meses, quando a criança é capaz de expressar-se oralmente de acordo com os padrões de uma língua. Mas, antes deste acontecimento, há uma etapa determinante na aquisição de tal conhecimento, denominada período sensório-motor. A evolução deste período é estudada quase sempre em função do meio social ou de estruturas inatas, independentes da evolução da inteligência, ou seja, da atividade da criança na interação com o meio. Com o objetivo de compreender a gênese da organização fonético-fonológica da fala na criança, realizou-se, neste trabalho, o estudo evolutivo das condutas vocais de crianças de três a dezoito meses, relacionando-as aos estágios do desenvolvimento sensório-motor descrito por Piaget. A pesquisa experimental demonstrou que as condutas sonoras produzidas no período sensório-motor evoluem correlativamente ao desenvolvimento da inteligência, em função da atividade e da interação da criança em seu meio, prolongando-se na fala estruturada de acordo com os padrões da língua.
Speech or the need to talk doesn't just suddenly start when a child says its first words. The period that phonetic sounds are acquired by a child, is usually about the time it starts to speak, that is when it is eighteen to twenty four months of age, when a child is able to express itself orally, by the standards of a language. But, before this happens, there is a phase that is important in speech acquisition, known as the motor-sensorial phase. The evolution of the speech acquisition period, is nearly always studied considering factors such as the child's social background and innate structures, independently of the evolution of the child's intelligence, that is, interaction with what surrounds it. In order to better understand the phonetic-phonological organization of children's speech, this study of the vocal evolution of children aged three to eighteen months, was made to determine the stages of motor-sensory development, described by Piaget. Experimental research work showed that the sounds emitted prior to the motor sensory phase, evolve towards intelligence development, and the amount of interaction the child has with it's surroundings, leads to speech that is structured by the standards of a language.
Batista, Luciana. "A gênese da organização fonético-fonológica da fala /". Marília : [s.n.], 2005. http://hdl.handle.net/11449/91257.
Texto completoBanca: Lourenço Chacon Jurado Filho
Banca: Jaime Luiz Zorzi
Resumo: A fala ou a necessidade de conversar não nasce bruscamente quando a criança emite suas primeiras palavras. O marco da aquisição dos fonemas, geralmente, é datado ao redor dos dezoito a vinte quatro meses, quando a criança é capaz de expressar-se oralmente de acordo com os padrões de uma língua. Mas, antes deste acontecimento, há uma etapa determinante na aquisição de tal conhecimento, denominada período sensório-motor. A evolução deste período é estudada quase sempre em função do meio social ou de estruturas inatas, independentes da evolução da inteligência, ou seja, da atividade da criança na interação com o meio. Com o objetivo de compreender a gênese da organização fonético-fonológica da fala na criança, realizou-se, neste trabalho, o estudo evolutivo das condutas vocais de crianças de três a dezoito meses, relacionando-as aos estágios do desenvolvimento sensório-motor descrito por Piaget. A pesquisa experimental demonstrou que as condutas sonoras produzidas no período sensório-motor evoluem correlativamente ao desenvolvimento da inteligência, em função da atividade e da interação da criança em seu meio, prolongando-se na fala estruturada de acordo com os padrões da língua.
Abstract: Speech or the need to talk doesn't just suddenly start when a child says its first words. The period that phonetic sounds are acquired by a child, is usually about the time it starts to speak, that is when it is eighteen to twenty four months of age, when a child is able to express itself orally, by the standards of a language. But, before this happens, there is a phase that is important in speech acquisition, known as the motor-sensorial phase. The evolution of the speech acquisition period, is nearly always studied considering factors such as the child's social background and innate structures, independently of the evolution of the child's intelligence, that is, interaction with what surrounds it. In order to better understand the phonetic-phonological organization of children's speech, this study of the vocal evolution of children aged three to eighteen months, was made to determine the stages of motor-sensory development, described by Piaget. Experimental research work showed that the sounds emitted prior to the motor sensory phase, evolve towards intelligence development, and the amount of interaction the child has with it's surroundings, leads to speech that is structured by the standards of a language.
Mestre
Santos, Fernanda Maria da Cunha. "Identificação de falhas em motores de indução trifásicos usando sistemas inteligentes". Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-29042013-114436/.
Texto completoThis thesis consists in developing a system for the identification and classification of faults in three-phase electric motors. The faults were analyzed and simulated in the laboratory and involve electrical problems, such as short circuit in the stator, and mechanical problems, such as broken rotor bars. The proposed computer system is formed by discrete wavelet transform, by calculation of statistical variables and for artificial neural networks. From the electrical signals of the stator current, the wavelet transform produces characteristic coefficients of faults, which are extracted by calculating of statistics variables, such as mean, root mean square, skewness and kurtosis. These values are passed as input to the neural networks that identify faults and the severity of it. Finally, results aimed at validating the methodology suggested that sought effective solutions in intelligent systems to diagnose faults in electrical machines.
Dabo, Marcelin. "Commande prédictive généralisée non linéaire à temps continu des systèmes complexes". Phd thesis, Université de Rouen, 2010. http://tel.archives-ouvertes.fr/tel-00497319.
Texto completoDinh, Van Binh. "Méthodes et outils pour le dimensionnement des bâtiments et des systèmes énergétiques en phase d'esquisse intégrant la gestion optimale". Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAT092/document.
Texto completoIn order to reduce the energy consumption and to increase the use of renewable energy, the optimal design of future buildings (smart-buildings) appears as an important factor.This thesis aims to develop models, innovative methods aiding decision-making during the design of buildings. Our approach of design is a global and simultaneous optimization of envelope, energy systems and their management strategies from the sketch phase, which takes into account multi-criterions of costs (investment et exploitation) and comforts (thermal, visual, aeraulic). The multi-objective optimization problem is so a strong coupling problem of large scale with a lot of variables and constraints, which leads to difficulties to solve.After the tests, an optimization method of order 1 is chosen in combination with analytical models formally derived automatically. Our methodology is applied to the design of individual houses, especially positive energy houses. The results of this global approach provide important information to designers to help make choices from the preliminary phase of the design process
Suetake, Marcelo. "Sistemas inteligentes para monitoramento e diagnósticos de falhas em motores de indução trifásicos". Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-26062012-164520/.
Texto completoThe objective of this thesis consists of the implementation of intelligent systems for three-phase induction motors fault diagnosis and condition monitoring. Therefore, an experimental test stand for stator winding inter-turn short circuit faults, broken rotor bar in squirrel cage and, finally, defective wheel bearing has been designed. The main focus is to propose a neural network approach, which uses spectral frequency analysis and principal component analysis techniques to detect broken rotor bar in squirrel cage induction motor. Induction motor operating at different load torque conditions and supplied with sinusoidal voltage supply and three-phase inverter at different frequency was considered in the experiment for methodology evaluation.
Hardas, Manas Sudhakar. "SEGMENTATION AND INTEGRATION IN TEXT COMPREHENSION: A MODEL OF CONCEPT NETWORK GROWTH". Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1334593269.
Texto completoGodoy, Wagner Fontes. "Multiclassificador inteligente de falhas no domínio do tempo em motores de indução trifásicos alimentados por inversores de frequência". Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-03062016-111024/.
Texto completoInduction motors play an important role in the industry, a fact that highlights the importance of correct diagnosis and classification of faults on these machines still in early stages of their evolution, allowing increase in productivity and mainly, eliminating major damage to the processes and machines. Thus, the purpose of this thesis is to present an intelligent multi-classifier for the diagnoses of healthy motor, short-circuit faults in the stator windings, rotor broken bars and bearing faults in induction motors operating with different models of frequency inverters by analyzing the amplitude of the stator current signal in the time domain. To assess the classification accuracy across the various levels of faults severity, the performances of four different learning machine techniques were compared; namely: (i) Fuzzy ARTMAP network, (ii) Multilayer Perceptron Network, (iii) Support Vector Machine and (iv) k-Nearest-Neighbor. Experimental results obtained from 13.574 experimental tests are presented to validate the study considering a wide range of operating frequencies and also load conditions using 5 different motors.
Vu, Duc Tan. "Commande tolérante aux défauts des entraînements de machines synchrones à aimants permanents polyphasées non-sinusoïdales sous contraintes de courant et de tension pour les applications automobiles". Electronic Thesis or Diss., Paris, HESAM, 2020. http://www.theses.fr/2020HESAE040.
Texto completoElectric drives for electrified vehicles need to fulfil some specific requirements from automotive markets such as high efficiency, high volume power and torque densities, low-cost but safe-to-touch, high functional reliability, high torque quality, and flux-weakening control. In this context, multiphase permanent magnet synchronous machine (PMSM) drives have become suitable candidates to meet the above requirements. The main objective of this doctoral thesis is to propose and refine fault-tolerant control strategies for non-sinusoidal multiphase PMSM drives that require less constraints on their design. In addition, constraints on current and voltage defined by the inverter and the machine are considered to optimize the machine control under the non-sinusoidal condition without exceeding their allowable limits. Therefore, the system sizing is guaranteed, especially in flux-weakening operations. The proposed fault-tolerant control strategies, based on the mathematical model of multiphase drives, enrich the control field of multiphase drives by providing various control options. The selection of one of the proposed control options can be a trade-off between a high quality torque but a low average value and a high average torque but a relatively high ripple. The control and torque performances of the drives can be refined by using artificial intelligence with a simple type of artificial neural networks named ADALINE (ADAptive LInear NEuron). With self-learning ability, fast convergence, and simplicity, ADALINEs can be applied to industrial multiphase drives. All proposed control strategies in this doctoral thesis are validated with an experimental seven-phase PMSM drive. The non-sinusoidal back electromotive force (back-EMF) of the experimental seven-phase PMSM is complex with the presence of multi-harmonics. Experimental results verify the effectiveness of the proposed strategies, and their applicability in a multiphase machine with a complex non-sinusoidal back-EMF
Schulz, Jakub. "Zdroj pro pulzní magnetronové naprašování". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217246.
Texto completoAl, Ghossini Hossam. "Contributions to the study of control for small-scale wind turbine connected to electrical microgrid with and without sensor". Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2310/document.
Texto completoThe aim of this thesis is to propose the most appropriate approach in order to minimize the cost of integration of a wind generator into a DC urban microgrid. A small-scale wind generator based on a permanent magnet synchronous machine (PMSM) is considered to be studied. A state of the art concerning the renewable energies, DC microgrid, and wind power generation is done. As the mechanical sensor for this structure is relatively of high cost, various types of wind conversion system control are presented in order to choose an energy conversion active structure and a sensorless PMSM. Therefore, a speed/position estimator is required to control the system. Thus, different methods proposed in literatures are considered and classified to be studied in details, and then the most effective and widely used ones are to be verified in simulation and experimentally for the studied system. The methods which are chosen are: rotor flux estimation with phase locked loop (PLL), sliding mode observer (SMO), Luenberger observer of reduced order, and extended Kalman filter (EKF). Facing to other methods, the EKF model-based estimator allows sensorless drive control in a wide speed range and estimates the rotation speed with a rapid response. The EKF parameters tuning is the main problem to its implementation. Hence, to solve this problem, the thesis introduces an adaptive method, i.e. adaptive-tuning EKF. As a result and grace to this approach, the total cost of conversion system is reduced and the performance is guaranteed and optimized
Korniienko, Anton. "Réseau de PLLs distribuées pour synthèse automatique d'horloge de MPSOCs synchrones". Phd thesis, Ecole Centrale de Lyon, 2011. http://tel.archives-ouvertes.fr/tel-00676933.
Texto completoLai, Yu-Kai y 賴煜凱. "Intelligent Photovoltaic Power System with Three-Phase Unbalanced Load Current Compensation". Thesis, 2018. http://ndltd.ncl.edu.tw/handle/uff69k.
Texto completo國立中央大學
電機工程學系
106
A improved method is proposed to compensate the three-phase unbalanced currents of power grid under three-phase unbalanced load for a two-stage photovoltaic (PV) power system without the augmentation of active power filter (APF). The PV power system is composed of an interleaved DC/DC converter and a three-level neutral-point clamped (NPC) inverter. Moreover, the PV power system possesses the smart inverter function, in which the output active and reactive powers of the PV inverter are predetermined by a power factor according to grid codes of the utilities. In the proposed method, -axis compensation currents are obtained through low pass filters (LPFs) to compensate the three-phase unbalanced currents of power grid. Furthermore, in order to improve the control performance of the DC bus voltage of the PV power system under unbalanced load variation condition, an online trained compensatory neural fuzzy network with an asymmetric membership function (CFNN-AMF) is proposed to replace the traditional proportional-integral (PI) controller for the DC bus voltage control. In the proposed CFNN-AMF, the compensatory parameter to integrate pessimistic and optimistic operations of fuzzy systems is embedded in the CFNN. In addition, the dimensions of the Gaussian membership functions are directly extended to AMFs. Additionally, the proposed controllers of the PV power system are implemented by two control platforms using floating-point digital signal processor (DSP). Finally, excellent compensation performance for the three-phase currents of power grid under three-phase unbalanced load can be achieved from the experimental results.
Lu, Kuang-Chin y 呂光欽. "Intelligent Power Control System of Three-Phase Grid-Connected PV System". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/90117545732400970594.
Texto completo國立中央大學
電機工程學系
104
A PC-based intelligent power control system of the three-phase grid-connected photovoltaic (PV) system for active and reactive power control during grid faults is developed in this dissertation. Two fuzzy-neural-network (FNN) based intelligent controllers are proposed to perform the intelligent power control system to regulate the active and reactive power of the grid-connected PV system satisfying the low voltage ride through (LVRT) requirements and ensuring the injected currents within the safety value of the three-phase inverter. The first proposed intelligent controller is the probabilistic wavelet fuzzy neural network (PWFNN) controller, which combines the merits of probabilistic FNN (PFNN) and wavelet FNN (WFNN). The other is the Takagi-Sugeno-Kang type probabilistic fuzzy neural network with asymmetric membership function (TSKPFNN-AMF) controller, which is the combination of the characteristics of the Takagi-Sugeno-Kang type fuzzy neural network (TSKFNN), asymmetric membership function (AMF) and probabilistic neural network (PNN). Both PWFNN and TSKPFNN-AMF controllers are good at dealing with a complex nonlinear system with uncertainty, complexity, and strong nonlinearities. Since the three-phase grid-connected PV system, which includes PV panel, boost converter, three-phase inverter and grid, can be regarded as a nonlinear system with uncertainty, it is very difficult to develop a physical nonlinear model for the system. Traditional controller such as proportional-integral (PI) controller is difficult to guarantee the desired control performance with the presence of plant parameter variations and unknown external disturbances due to the linearity characteristic of a PI controller. Therefore, the proposed PWFNN and TSKPFNN-AMF controllers can be adopted to develop a system with learning capability for nonlinear systems with uncertainties and be adopted to control the active and reactive power of the grid-connected PV system during grid faults. Moreover, a formula for evaluating the percentage of voltage sags is derived to determine the ratio of the injected reactive current to satisfy the regulations. To reduce the risk of over-current during LVRT operation, a current limit is predefined for the injection of reactive current. Furthermore, a dual mode operation control method of the converter and inverter of the three-phase grid-connected PV system is proposed to balance the active power between the PV panel and the three-phase inverter and maximize the three-phase inverter power capability via injecting the full-rated current during grid fault. To achieve this objective, the control system applies the mode II operation strategy to curtail the active power to ensure the maximum rated current is not surpassed. In addition, the network structure, online learning algorithm, and convergence analysis of the proposed intelligent controllers are described in detail. An emulated 1kW grid-connected three-phase PV system is settled and tested to verify the performance of the proposed intelligent power control system. Various types of voltage sags and test scenarios are designed to investigate the LVRT capability of the grid-connected PV system. The experimental results show that although the control performances of the proposed controllers are superior to other controllers such as PI, FNN and WFNN, higher complexity of structure and current harmonic distortion of injected current during grid faults are the main defects. Additionally, some benchmarks of these controllers are also provided to evaluate the control performances.
Chia-Lung, Cheng. "GPS Carrier Phase Frequency Syntonization with the Dynamic Intelligent Adaptive Forecasting Filter". 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-3006200617163800.
Texto completoCheng, Chia-Lung y 程家龍. "GPS Carrier Phase Frequency Syntonization with the Dynamic Intelligent Adaptive Forecasting Filter". Thesis, 2006. http://ndltd.ncl.edu.tw/handle/77241063984199584231.
Texto completo國立臺灣大學
電機工程學研究所
94
A low-cost, highly-accurate GPS carrier phase frequency syntonization system (GPS carrier phase-disciplined oscillator, GPSCDO) based on a single-frequency receiver is presented. The scheme can allow traceability to the international time and frequency as disseminated by the GPS. The system can be used in stratum II time/frequency standards, such as site syntonization systems, event measurement, etc. Furthermore, the GPSCDO can monitor atmospheric variations applied to earthquake prediction or meteorology when the dynamic intelligent adaptive forecasting filter is turned off. To estimate the average frequency offsets of an oscillator with respect to the GPS, the oscillator was connected to a time/frequency GPS receiver to replace its original oscillator. Hence, the behavior of the oscillator was determined from the GPS carrier phase observations. The average frequency offsets of the oscillator with respect to the GPS could be estimated by performing difference operations on carrier phase observations of all satellites in view between two measurement epochs. To reduce the interference of the atmospheric delay, a real-time dynamic intelligent adaptive forecasting filter (DIAFF) was proposed. The corrected average frequency offsets were then used by the switch controller to steer the OCXO through a D/A converter. The parameters of the DIAFF were obtained according to the results of an eight-day experiment, in which the GPS carrier phase observations of a stand-alone configuration with a primary clock are recorded for each satellite. The DIAFF can be available to correct locally (smaller than 50 Km) average atmospheric differential delays in real time. The circumstances of the users can be considered in creation of the DIAFF. The DIAFF is available easily and provides day-to-day robustness under regular atmosphere. In addition, the DIAFF is better than the Klobuchar model from the frequency stability analyses of the medium term and long term in the local area. The GPSCDO with the DIAFF can be improved on the estimates of normalized frequency offset of the OCXO with respect to the Cs. clock from the order of 10 to that of 10 and the frequency stability (MDEV) from the order of 10 to that of 10 over 24 hours. Furthermore, the GPSCDO with the DIAFF is better than the commercial GPS disciplined oscillator (GPSDO) from the frequency stability analyses of the short term (10s) and medium term (10000s) in the local area. The decentralized adaptive atmospheric delay correction processes improve frequency syntonization performance of the users, and reduce the cost of the apparatus for the National Metrology Institute (NMI). In addition, a great quantity of computation can be distributed over the users equally.
Chen, Jun-Hao y 陳俊豪. "Design and Implementation of Three-Phase Active Power Filters with Intelligent Control". Thesis, 2017. http://ndltd.ncl.edu.tw/handle/5d6ac3.
Texto completo國立中央大學
電機工程學系
105
A three-phase three-arm active power filter (APF) is proposed to compensate harmonic current under nonlinear load conditions in grid-connected operation in this study. In order to improve the regulation control of the DC-link voltage in the shunt APF under the variation of nonlinear load and to compensate the currents harmonic effectively, a novel recurrent probabilistic fuzzy neural network with an asymmetric membership function(RPFNN-AMF) controller is proposed to replace traditional proportional-integral (PI) controller. Moreover, a three-phase four-arm inverter-based active power filter is also proposed to compensate three-phase unbalanced currents under unbalanced load conditions in grid-connected operation in this study. Furthermore, to improve the regulation control of the DC-link voltage in the APF under the variation of three-phase unbalanced load and to compensate the three-phase unbalanced currents effectively, a novel Petri probabilistic fuzzy neural network (PPFNN) controller is proposed to replace traditional PI controller. In addition, the network structure, online learning algorithms and convergence analysis of the proposed two intelligent controllers are represented respectively in detail. Finally, the proposed two intelligent controllers to control the APF are implemented by the control platform using the Texas Instruments digital signal processor (DSP) TMS320F28335, and the effectiveness and the feasibility are verified by some experimental results.
Wu, Jia-Yong y 吳家勇. "Plan and Design of Intelligent Digital Single-phase Meter to Support Demand Response". Thesis, 2011. http://ndltd.ncl.edu.tw/handle/23639784682274891144.
Texto completo國立高雄應用科技大學
電機工程系
99
The thesis proposes an energy management for demand response system. The intelligent digital single-phase meter uses RS-485 and ZigBee as communication medium and integrates microprocessor with energy metering IC and switch power supply. It can be easily installed without requesting modification of original circuits of a user. The meter can support power company to reach control of demand response for customers and achieve the effect of carbon reduction. The master station reads the power consumption of appliances through the RS-485 or ZigBee interface in the meter. The energy management system which is designed by Visual Basic transmits the measured data from the meter to the master station and displays on the screen of the master station. The function of the meter can support the analysis of reasonable demand to help users to understand current status of used electricity. That will improve the users electricity consumption habits for the purposes of peak load shaving and bill cut.
WeiHan-Sheng y 魏漢昇. "Intelligent Speed Control of Three-Phase Induction Motor Based on Programmable Logic Controller". Thesis, 2006. http://ndltd.ncl.edu.tw/handle/34814348705718964375.
Texto completo崑山科技大學
電機工程研究所
94
The motor control technique based on programmable logic controller (PLC) has the advantages of good operation quality and superior control performance during on-off instant. Hence, provided that it belongs to the general purpose of motor drive and control, the industrial circles are used to utilize the PLC based PID control method to substitute for the traditional driving technique in order to simplify the control circuit components and satisfy the control requirements. To further promote the performance of motor control for PLC, this thesis combines fuzzy theory and artificial neural network to the close-loop speed control of induction motor. The fuzzy theory adopts the human language to replace the complicated mathematics model. For one highly non-linear system or in which the differential equation is not easy to be obtained, the fuzzy theory can offer a simpler control method. In addition, in order to have the fuzzy control strategy to be implemented easily in the PLC ladder program, this thesis utilizes ANN to learn the fuzzy inference rules in order to further simplify the control model. To verify the feasibility of the proposed method, this thesis employs one three-phase induction motor to fulfill the experiment. Furthermore, to provide the personification man-machine interface, this thesis also combines the VB software and RS485 module to carry out the distributed monitor of three-phase induction motor that it can reaches the monitor requirement of one PC monitors several motors.
Li, Yuan-Fang y 李元芳. "Simulation and Experimentation of Wind-Driven Three-Phase Induction Generator System Using Intelligent Control". Thesis, 2005. http://ndltd.ncl.edu.tw/handle/21409140178312974214.
Texto completo國立東華大學
電機工程學系
93
An intelligent controlled wind turbine emulator and induction generator (IG) system with an AC/DC power converter is developed in this study. The electric frequency of the IG is controlled using the indirect field-oriented control mechanism. Moreover, a power converter is adopted to convert the electric power generated by a three-phase IG from variable-frequency and variable-voltage to constant DC voltage. The rotor speed of the IG, the DC-link voltage and current of the power converter are detected simultaneously to yield maximum power output of the IG through DC-link power control. In this thesis, first, the indirect field-oriented mechanism is designed for the control of the IG. Since the IG system is nonlinear and time-varying, an on-line trained recurrent fuzzy neural network (RFNN) with backpropagation algorithm is then developed as the tracking controller of DC-link power to improve the control performance. In addition, a closed-loop wind turbine emulator also using the RFNN is designed to produce maximum power for the IG system at various wind speeds. Then, some experimental results are provided to show the effectiveness of the proposed wind turbine emulator and IG system using RFNN controller. The performance of the wind-driven induction generator system is also simulated using PSIM and Simulink. In the simulation, a power converter and a DC/AC power inverter are adopted and operated in both the stand-alone or grid-connected mode. Moreover, some simulated results are given to verify the design of the wind-driven induction generator system.
Tsai, Meng-ting y 蔡孟庭. "Development of Intelligent Fault Tolerant Control for Six-Phase Permanent Magnet Synchronous Motor Drive System". Thesis, 2012. http://ndltd.ncl.edu.tw/handle/84925446080846369419.
Texto completo國立中央大學
電機工程研究所
100
The objective of this thesis is to develop and implement a digital signal processor (DSP) based fault tolerant control of six-phase permanent magnet synchronous motor (PMSM) drive system. This system is suitable for industrial applications such as mechanical tools, electric vehicles and some specific applications. The six-phase PMSM drive system is highly nonlinear and is very sensitive to parameter variations and external disturbance. When the motor winding or the respective inverter is broken, the torque fluctuation will appear due to unbalanced current and the motor will operate under non-smooth situation. Therefore, the fault detection and operating decision method is proposed in the thesis to prevent serious broken. Since, the stability and the fault tolerant control are the most important issues of the six-phase PMSM drive and control system, therefore, two intelligent control systems, which can improve the control performance and the requirements of stability of fault tolerant control of six-phase PMSM drive system, are proposed: a Takagi-Sugeno-Kang type fuzzy neural network with asymmetric membership function (TSKFNN-AMF) controller and an intelligent complementary sliding-mode controller (ICSMC). The network structure and the online learning algorithms of the intelligent controller are introduced in detail. Moreover, the proposed control systems are implemented in a TMS320F28335 DSP to verify the feasibility of the proposed control schemes.
Hsu, Chia-Wei y 許家瑋. "Application of Intelligent Motor Control System for Control and Protection of Three-Phase Induction Motor". Thesis, 2012. http://ndltd.ncl.edu.tw/handle/56521156678651408559.
Texto completo國立臺灣海洋大學
電機工程學系
100
Motor control center (MCC) is widely used in the industry. The conventional MCC consists of electrical and mechanical components and apparatus and all connections are in the form of hard wiring. The task of troubleshooting often needs to make measurements with a large number of components and control points, which is labor-intensive with high maintenance cost and time. In recent years, the Intelligent Motor Control Systems (IMCCs) are gaining development and applications. The IMCCs use new intelligent components and network technology and will be able to identify the type of motor fault more quickly. In this thesis, the functions of IMCC motor protection is applied to the diagnosis of motor faults with the detection of imbalances in voltage and current. The conditions under study are carbon deposits on the electromagnetic contactor and open line circuit faults of an induction motor. An experimental platform for the diagnosis of motor faults includes an IMCC, an induction motor, a personal computer equipped with Matlab/Simulink and LabVIEW, a magnetic contactor, and resistors with numerous values resistance. Some function codes, including motor fault simulation, virtual instrumentation, and fault diagnosis, are implemented in the personal computer. Experiment works consist of both the software simulation and hardware emulation of motor faults and practical detections. It is found that the IMCC will assist the maintenance crew in diagnosing the motor faults.
Ranjith, Ameetha. "Foundation phase educator's conceptualisations of emotional intelligence and its influence on teaching". Thesis, 2012. http://hdl.handle.net/10413/9630.
Texto completoThesis (M.Ed.)-University of KwaZulu-Natal, Durban, 2012.
Juan, Kai-Chun y 阮開駿. "Intelligent Control of Six-Phase Permanent Magnet Synchronous Motor Drive System for Electric Power Steering System". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/90463892602004376035.
Texto completo國立中央大學
電機工程學系
101
The purpose of this thesis is to develop a digital signal processor (DSP) based intelligent control of six-phase permanent magnet synchronous motor (PMSM) drive system for electric power steering (EPS) system. Due to the EPS system is a nonlinear and time-varying system, the control accuracy is very sensitive to the parameter variations and external disturbances. Since the stability of EPS system is the most important issue, two intelligent control systems are proposed in this thesis. First, an improved differential evolution wavelet fuzzy neural network with asymmetric membership function (IDE WFNN-AMF) is proposed, in which the learning rates of IDE WFNN-AMF are adapted online. Then, an intelligent two-order sliding-mode controller (I2OSMC) is proposed, in which the uncertainties of the EPS system is estimated using the WFNN-AMF with online learning and fast convergence capabilities. The above two intelligent controllers can achieve the required high control performance of the EPS system. Finally, the six-phase PMSM drive system is implemented by the DSP TMS320F28335, and some experimental results are illustrated to verify the validity of the proposed intelligent controllers.
Hung, Ying-Chih y 洪英智. "Intelligent Fault Tolerant Control of Six-Phase Permanent Magnet Synchronous Motor Drive System for Light Electric Vehicle". Thesis, 2013. http://ndltd.ncl.edu.tw/handle/99318277481360638251.
Texto completo國立中央大學
電機工程學系
101
In recent years, due to the greenhouse effect and fossil energy shortage, the concept of carbon reduction and energy saving has been valued highly. Therefore, the market of the internal combustion engine vehicles will be impacted seriously due to the increasing price of fossil fuel. Moreover, to consider the possible change of the habit of driver and the development of the public transportation in the future, light electric vehicles (LEVs) with high energy efficiency and low emissions are believed to be the best choice of transportation in the future. On the other hand, fault tolerant control for a motor drive system enables a motor to continue operating properly in the event of the failure. The fault tolerant control motor drive system is suitable for industrial applications such as mechanical tools, aerospace technology, vehicle technology, compressors, robotic arms, robots, electric vehicles (EVs) and some specific applications. For the above reasons, the purpose of this dissertation is to develop a digital signal processor (DSP)-based intelligent fault tolerant control of six-phase permanent magnet synchronous motor (PMSM) drive system. Furthermore, the developed intelligent fault tolerant control motor drive system will be applied to an in-wheel motor drive system in LEV to fulfill the requirements of the safety and system stability in LEV applications. In this dissertation, the DSP-based control system using a 32-bit floating-point DSP, TMS320F28335, and the six-phase PMSM drive system are presented in detail first. Then, the dynamics of the six-phase PMSM is analyzed and derived. Moreover, the six-phase PMSM drive system is a highly nonlinear system and is very sensitive to the parameter variations and external disturbance. When the motor winding or respective inverter is broken, the unbalanced current will cause torque fluctuation so that the motor may be operated under a non-smooth situation and lead to a serious damage. Thus, the fault tolerant control for the six-phase PMSM drive system should be considered. Hence, the fault detection and operating decision method is proposed in this dissertation. Furthermore, the dynamics of LEV and in-wheel motor drive system are described in detail. In addition, two control approaches including Takagi-Sugeno-Kang type fuzzy neural network with asymmetric membership function (TSKFNN-AMF) control and intelligent complementary sliding mode control (ICSMC), which combines the merits of complementary sliding mode control (CSMC) and TSKFNN-AMF, are proposed to improve the control performance and to maintain the stability of the fault tolerant control six-phase PMSM drive system under faulty condition. Additionally, a probabilistic fuzzy neural network (PFNN) control is proposed to control the fault tolerant control six-phase PMSM drive system for an in-wheel motor drive system in LEV, and to achieve high control performance of the LEV and to maintain the stability of the in-wheel motor drive system under faulty condition. The fault tolerant control with PFNN of in-wheel motor drive system can provide better acceleration and deceleration control performance of the vehicle when the vehicle is accelerated or decelerated promptly and make the driving more comfortable with safety for the driver and the passengers. Finally, according to the experimental results, the developed intelligent fault tolerant control of six-phase PMSM drive system possesses good control performance and fault tolerance ability, and can apply to the in-wheel motor drive system in LEV effectively.
Zhao, Feng. "Phase Space Navigator: Towards Automating Control Synthesis in Phase Spaces for Nonlinear Control Systems". 1991. http://hdl.handle.net/1721.1/5982.
Texto completoBeukes, Christopher John. "Employability and emotional intelligence of the individual within the school-to-work transition phase". Thesis, 2010. http://hdl.handle.net/10500/4096.
Texto completoIndustrial and Organisational Psychology
M.Com. (Industrial and Organisational Psychology)
Gomes, Veronica Ann. "Guidelines for the educational psychologist in the assessment of mathematics in the foundation phase". Thesis, 2008. http://hdl.handle.net/10210/355.
Texto completoDr. Elzette Fritz Mrs. Raine Pettipher