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Дисертації з теми "Défaut de court-circuit entre spires"
Vaseghi, Babak. "Contribution à l'étude des machines électriques en présence de défaut entre-spires : modélisation - Réduction du courant de défaut." Thesis, Vandoeuvre-les-Nancy, INPL, 2009. http://www.theses.fr/2009INPL090N/document.
Повний текст джерелаThe main objective of this research is to establish the sufficiently precise models to study the behavior of electrical machines in the presence of inter-turn short circuit fault and then find the relevant signatures to detect this type of fault. The other objective is to design a limited short-circuit current electrical machines to reduce the risk of fault development. The first modeling approach is a comprehensive study using the time stepping finite element method. The results obtained by this model "finite element" on a MSAP and MAS, healthy and faulty, for different levels of fault severity, are close with those obtained experimentally by two test benches. The second approach is to develop a model circuit electric, whose complexity depends on the type of magnetic structure and the type of machine winding. We have proposed two methods for determining the model parameters: 1 - numerical methods (FEM) which require long time bur very precise; 2 – establish new analytical expressions which is fast but less precise. In the last part, a method based on segmentation of the magnet is presented in order to reduce the short circuit current. The segmented PM motor contains the reduced fault current and can be used in the application which requires high degree of reliability
Vaseghi, Babak. "CONTRIBUTION A L'ETUDE DES MACHINES ELECTRIQUES EN PRESENCE DE DEFAUT ENTRE-SPIRES Modélisation – Réduction du courant de défaut." Phd thesis, Institut National Polytechnique de Lorraine - INPL, 2009. http://tel.archives-ouvertes.fr/tel-00518228.
Повний текст джерелаJelassi, Sana. "Impact d'un court-circuit interne au stator d'une machine asynchrone sur les phénomènes générés par la denture." Thesis, Artois, 2011. http://www.theses.fr/2011ARTO0203/document.
Повний текст джерелаIn a general way the electrical machines study can be undertaken according to various levels of complexity. The simplest approach considers an idealized machine for which we are interested in the main phenomena, in particular those that generate the average electromagnetic torque. If we are interested in the secondary phenomena, sometimes difficult to analyze, as the vibrations and noise, the iron losses, or the external magnetic field of the electrical machines, it is necessary to have a more complex approach. It is in this context that joins our work in which we shall be interested more particularly in the induction machine working in unconventional conditions. The originality of our study lies in the analysis, by a semi analytical approach, of aforesaid phenomena in cases of a machine presenting an inter turn short circuit. The objectives of this work are multiple, we shall be interested first in the study of the effect of the default on the phenomena generated by the slotting effect so as to be able to appreciate its importance on the machine performances degradation. The second point is to explore the ways to minimize iron losses and vibration by conception, by adjusting some machine geometrical parameters, so avoiding the recourse to outside actions as the current harmonic injection. The last point consists in correlating the iron losses and the vibrations to the external magnetic field. This correlation allows for example to estimate the performance degradation level during a machine unconventional running
Cuevas, Salvatierra Mauricio Andrés. "Méthodes non-invasives de diagnostic de défauts et d'analyse thermique des machines synchrones à pôles saillants." Thesis, Artois, 2017. http://www.theses.fr/2017ARTO0209/document.
Повний текст джерелаThis work aims to develop non-invasive monitoring techniques on AC rotating machines so that their implementation is easy in an industrial environment. For this purpose, two independent methods are described: a fault diagnosis in alternators connected to the local power gird and an exploratory study to evaluate the internal temperature of AC rotating machines.The first method relies on the analysis of two physical magnitudes: the stray magnetic field radiated outside from the external frame and the vibrations content of machine structure. Mathematical models have been developed in order to correlate magnetic and mechanical phenomena which occur in three different machine states: healthy and in two winding short-circuit faults both in the stator and in the rotor. These results were then validated experimentally in laboratory as well as on large machines in industrial environment. A first diagnostic prototype is presented capable to be implemented in industrial environment in order to detect short-circuit faults in larges alternators.In a second time, a temperature estimation method is proposed based on observations concerning variations in material characteristics of windings as temperature increases. Thus, the localizations of impedance resonant frequencies are impacted, which was verified experimentally as well.This thesis work allowed to verify diagnostic feasibility and on-line monitoring methods in rotating machines in a non-invasive way in industrial environments
Bilal, Habachi. "Diagnostic des systèmes de production de l’énergie Hybride Générateur/Mode moteur." Electronic Thesis or Diss., Corte, 2022. http://www.theses.fr/2022CORT0010.
Повний текст джерелаNowadays, the sophistication and the multiplication of electrical power systems, characterize technological and human society evolutions. Electrical energy from production systems is an essential factor for the development and improvement of living conditions and industrial activities. In electric power systems, as in the field of electric drives, which can be operated at variable speed, the Doubly Fed Induction machine (DFIM) occupies more and more space. This machine is particularly appreciated because it offers advantages over other types of electric machines such as reliability, robustness, and lower cost. It is this type of machine that is used in most current wind turbines.However, despite the advantages of this machine, it is not immune to failures. The most common ones are listed as follows: a) short circuit on stator and rotor windings, b) rotor bar breaks, c) bearing faults, d) eccentricity faults of the iron gap. In the case of maintenance, these types of defects must be detected in their early stages and located, because they can lead to high maintenance costs, production downtime and significant degradation.The diagnosis of such system encourages researches in laboratories, both industrial and academic, to develop effective monitoring devices. Many methods have been studied in this field, in order to be able to react as soon as possible and to avoid a harmful aggravation of defects. The aim is to ensure operation of the system, production of electrical energy and reduction of maintenance costs. These studies are still ongoing in the various research centers.This manuscript presents new methodologies to diagnose short circuit faults between turns in stator winding of a DFIM. These developed approaches are based on a model or from amplitudes of harmonic components of vibratory signal or from characteristics of geometric shape of currents according to short-circuit rates. The analized signals are vibrations (only for experimental case) and currents (theoretical and experimental cases). The presented methods use classical techniques such as the Fourier Transform (FT) and the Park Vector Approach (PVA). The FT is used to observe the spectral evolution of the harmonics and more particularly of their amplitude. Then, PVA is used to exploit characteristics of geometrical shape of currents. The DFIM is analytically modeled by multi-coupled circuit model. In this work, the proposed approaches were simulated on Matlab environment and validated on a real device using a 0.3kW wound rotor asynchronous machine (DFIM). The studied DFIM can be configurated with a short circuit rate between turns of 2.5%, 5%, 10%, 20%, 30% to 40% on one phase (phase A)
Leboeuf, Nicolas. "Contribution à l'étude des machines synchrones à aimants permanents en présence de défauts inter-spires : modélisation, détection de défauts inter-spires." Thesis, Université de Lorraine, 2012. http://www.theses.fr/2012LORR0364/document.
Повний текст джерелаEmbedded electric systems in aircraft applications have to satisfy to specifications including weight, performances and reliability leading to the use of Permanent Magnet Synchronous Machines (PMSM). Due to these constraints, prototypes are often different from classical PMSM. Online monitoring of these systems is challenging but is still important regarding safety applications (electro mechanical airfoil, braking?). The main aim is to detect major incidents in order to use redundant systems. This work concerns modeling of PMSM under both healthy and inter-turn fault cases in order to defined online fault detection methods without additional sensors. Two approaches are presented and compared to experimental tests concerning PMSM under inter-turn fault conditions. One of them is based on Permeance Network (PN) modelling. It can be considered to be the best compromise. The next part deals with two fault indicators methods based on healthy models of Inverter and PMSM and shows improvements brought by these approaches compared to classical methods. The whole indicators are analyzed using Pattern Recognition (PR)
Ceban, Andrian. "Méthode globale de diagnostic des machines électriques." Thesis, Artois, 2012. http://www.theses.fr/2012ARTO0202/document.
Повний текст джерелаThe work described in this thesis proposes new procedures to diagnose faults in AC machines. The diagnostic procedures described are reliable, original, inexpensive and simple to implement. They have the advantage of being noninvasive and just get rid from the main drawback presented by other diagnostic methods based on a comparison with a healthy state assumed to be known. The analysis focuses on the magnetic field dispersion in the vicinity of the machine, especially its radial an axial distribution which presents different sensitivity according to various faults. To this end, the phenomena due to inter-turn short-circuit faults in the stator winding, rotor eccentricity and broken rotor bars, are studied in the case of an induction machine and a synchronous machine. For each fault, specific signatures are identified and justified by analytical modeling and numerical method of analysis including coupled electric circuit and finite element methods. Defects have been created in the rotor and stator on different machines in order to validate experimentally the suggested diagnostic procedures
Idrissi, Imane. "Contribution au Diagnotic des Défauts de la Machine Asynchrone Doublement Alimentée de l'Eolienne à Vitesse Variable." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMR033/document.
Повний текст джерелаActually, the Doubly Fed Induction Generators (DFIG) are omnipresent in the wind power market, owing to their construction simplicity, their low purchase cost and their mechanical robustness. However, as any other electrical machine, these generators are subject to defects of different order (electrical, mechanical, electromagnetic ...) or of different type (sensor, actuator or system). That’s why, it is important to design an effective diagnostic approach, able to early detect, locate and identify any defect or abnormal behavior, which could undermine the healthy operation of this machine On the one hand, motivated by the observer-based fault diagnosis methods strengths, we proposed, in this thesis, a diagnostic approach for the faults detection, localization and identification of the DFIG used in variable speed wind turbine. This approach is based on the use of the efficient and widely used Kalman observers. The state estimation errors of the linear Kalman filter and the non-linear Kalman filters, named: The Extended Kalman Filter (EKF) and the Unscented Kalman Filter (UKF) are used as faults sensitive residuals. In order to avoid false alarms and to decouple faults from disturbances and noises, the faults detection is carried out by the analysis of the residuals generated, by the mean of statistical tests such as: Hinkley Page Test (PH) and DCS Test (Dynamic) Cumulative Sum). For the localization step in case of multiple and simultaneous faults, the Dedicated Observer scheme (DOS) and the Generalized Observer scheme (GOS) are applied. In addition, the fault level is determined in the fault identification step. Sensor faults, actuator and system faults of DFIG, are treated in this research work. On the other hand, a comparative study between the three Kalman observers proposed is performed. The comparison was done in terms of (1) the computation time, (2) the estimation accuracy, and (3) the convergence speed
Filleau, Clément. "Mise en place d'une méthodologie de modélisation en vue du diagnostic des défauts électriques des alternateurs." Phd thesis, Toulouse, INPT, 2017. http://oatao.univ-toulouse.fr/19288/1/Filleau.pdf.
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