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Academic literature on the topic 'Machines – Défauts'
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Journal articles on the topic "Machines – Défauts"
Benzineb, Omar, Mohamed Tadjine, Mohamed EH Benbouzid, and Demba Diallo. "Sur la commande tolérante aux défauts des machines asynchrones. Une approche implicite." European Journal of Electrical Engineering 15, no. 6 (December 30, 2012): 633–57. http://dx.doi.org/10.3166/ejee.15.633-657.
Full textBen Attia, Houda, Bruno Dagues, Jean-Claude Hapiot, and Ilhem Slama-Belkhodja. "Détection et localisation des défauts mécaniques d'un réducteur entraîné par une machine asynchrone." Revue internationale de génie électrique 8, no. 3-4 (August 30, 2005): 541–55. http://dx.doi.org/10.3166/rige.8.541-555.
Full textMekri, Fatiha, Jean-Frédéric Charpentier, Xavier Kestelyn, and Eric Semail. "Etude comparative de différents correcteurs pour la commande optimale avec défauts d’une machine pentaphasée." European Journal of Electrical Engineering 15, no. 4 (August 30, 2012): 377–400. http://dx.doi.org/10.3166/ejee.15.377-400.
Full textBachir, Smail, Slim Tnani, Jean-Claude Trigeassou, Gérard Champenois, and Jacques Saint-Michel. "Diagnostic de la machine asynchrone par identification paramétrique. Modélisation et détection des défauts stator et rotor." Revue internationale de génie électrique 5, no. 3-4 (December 30, 2002): 401–30. http://dx.doi.org/10.3166/rige.5.401-430.
Full textCasimir, R., E. Bouteleux, H. Yahoui, Guy Clerc, H. Heano, C. Delmotte, GA Capolino, et al. "Modélisation et diagnostic de la machine asynchrone à cage en présence de défauts. Synthèse de plusieurs méthodes." Revue internationale de génie électrique 8, no. 2 (April 30, 2005): 259–86. http://dx.doi.org/10.3166/rige.8.259-286.
Full textKhojet El Khil, Sejir, Ilhem Slama-Belkhodja, Maria Pietrzak-David, and Bernard de Fornel. "Reconfiguration de la commande d'une machine asynchrone à double alimentation en présence de défaut de bus continu." Revue internationale de génie électrique 10, no. 4-5 (September 12, 2008): 487–510. http://dx.doi.org/10.3166/rige.11.487-510.
Full textSuria, S., J. M. Puizillout, P. Baguenard, and J. L. Bourgain. "Défaut de réalisation de l’autotest de la machine d’anesthésie à l’ouverture de la salle d’opération. Étude des pratiques." Annales Françaises d'Anesthésie et de Réanimation 29, no. 12 (December 2010): 874–77. http://dx.doi.org/10.1016/j.annfar.2010.09.013.
Full textFAVERDIN, P., and C. LEROUX. "Avant-propos." INRAE Productions Animales 26, no. 2 (April 16, 2013): 71–76. http://dx.doi.org/10.20870/productions-animales.2013.26.2.3137.
Full textMessi Nguélé, Thomas, Maurice Tchuente, and Jean-François Méhaut. "Social network ordering based on communities to reduce cache misses." Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées Volume 24 - 2017 - Special... (May 10, 2017). http://dx.doi.org/10.46298/arima.1448.
Full textRollet, Sylvie. "L’institution du « spectateur-témoin »." inclure (le tiers), no. 21 (December 2, 2013). http://dx.doi.org/10.7202/1020621ar.
Full textDissertations / Theses on the topic "Machines – Défauts"
Plazenet, Thibaud. "Contribution à l'analyse de défauts de roulement induits par les défauts électriques de machines tournantes." Electronic Thesis or Diss., Université de Lorraine, 2019. http://www.theses.fr/2019LORR0187.
Full textPremature bearing aging is one of the main reasons of forced outages of electrical machines, especially under converter operation. This work contributes to the analysis and the detection of the generalized roughness bearing fault in small machines (up to 20 kW) under converter operation. In this configuration, this fault is caused by capacitive discharges creating an electroerosion of the raceways. To detect this fault, we proposed a realistic aging process that reproduces the emerging state of the generalized roughness bearing fault. This experimental process consists of an inverter located between the raceways and designed to increase the discharge activity while limiting the energy of a single discharge to a realistic threshold. Operating conditions, which accelerate the bearing aging by increasing the discharge activity, are experimentally determined. In this thesis, we also tackle the problem of detecting the generalized roughness bearing fault. In accordance with the maintenance constraints and the effects produced by the fault on vibration signals, we selected appropriate signal processing tools. The creation of synthetic vibration signals, enriched with some properties of the fault, allowed a comparative study of the proposed detection methods, which are based on the Wiener filter, the spectral subtraction and the spectral kurtosis
Bahri, Elmehdi. "Minimisation active des contraintes générées par les défauts dans les machines électriques : application à la MSAPS." Thesis, Artois, 2017. http://www.theses.fr/2017ARTO0201/document.
Full textThe work carried out in this thesis consists in developing a methodology to reduce the torque ripples generated by a stator fault in a surface permanent magnet synchronous machine. Two faults have been treated: the unbalance of the stator winding, illustrated in the study by a lack of turns, and a stator inter-turns short-circuit. The harmonic torque components generated by the both faults have been identified and the inverse current component to be injected in the supply currents has been determined to reduce the main torque component, which is at twice the supply frequency. Two approaches have been used to determine this inverse current component: an approach based on the air gap flux density resulting from an analytical calculation taking into account the magnetic effect of the currents in each slot, and an approach based on the flux and current space phasor. This second approach makes it possible to implement the correction principle in matlab-simulink simulations. These simulations give convincing results whether the machine operates in a frequency-controlled open loop or in a vector control mode inserted in a speed control loop. Experimental tests have been realized to validate the theoretical study. The used test bench includes a Permanent Magnet Synchronous Machine (PMSM) coupled to a DC machine. The PMSM is powered by an inverter controlled by a dSPACE system able to tune the inverse current component and ensure the vector control. A properly positioned accelerometer is used to measure the tangential vibrations generated by torque fluctuations. For both faults, the reduction of the harmonic of tangential vibrations at twice the supply frequency was demonstrated by injection of an inverse current component. A good agreement between theory and experimentation in terms of the amplitude of the inverse component was obtained
Alachkar, Bassem. "Diagnostic vibro-acoustique des défauts de fabrication des machines électriques." Paris 11, 1995. http://www.theses.fr/1995PA112190.
Full textRouached, Bouali, and Bouali Rouached. "Contribution à la modélisation des défauts de bobinages des machines électriques et à leur détection par des mesures au rotor." Doctoral thesis, Université Laval, 2021. http://hdl.handle.net/20.500.11794/69310.
Full textCe travail de thèse traite de la détection des défauts de bobinages au stator dans les machines électriques contenant une structure d'amortissement. Les courts-circuits entre spires d'un même enroulement sont souvent la prémisse de l'apparition d'autres défauts de bobinages dont les conséquences sont plus sévères. La précocité de détection est donc essentielle pour préserver les machines et leur environnement humain ou matériel. Dans cet ouvrage, nous proposons une solution innovante de discrimination des courts-circuits basée sur la redondance de signaux mesurés au rotor. Pour définir celle-ci, une modélisation d'ordre élevé combinant l'approche des éléments finis et celle des circuits couplés a été employée. La première est utilisée pour déterminer les paramètres (couplages magnétiques) exploités par la seconde qui n'est autre que le modèle comportemental. Comme l'inconvénient de cette combinaison d'approches est le temps utile à l'identification des couplages magnétiques et sachant que diverses configurations de bobinage doivent être modélisées, une nouvelle méthodologie d'identification a été développée. Après une première identification (éléments finis) à temps réduit, celle-ci offre la possibilité d'estimer les paramètres d'une configuration de bobinage souhaitée sans réutilisation de la résolution par éléments finis. En plus de son exploitation pour mettre en œuvre le procédé de détection présenté, cette méthodologie d'identification est un générateur de paramètres utiles pour des détections basées sur « l'estimation paramétrique ». La modélisation des circuits couplés présente un excellent rapport précision/temps de calcul et une bonne efficacité dans la représentation des phénomènes spatiotemporels. L'intégration d'un défaut de bobinage nécessite de faire évoluer les équations de circuits du modèle. À des fins d'atteindre l'objectif de cette thèse, la structure du modèle a été modifiée pour introduire les courts-circuits entre spires au stator. En dehors de l'application présentée, l'association de la méthode d'identification avec le modèle comportemental permet la reproduction rapide de forme d'onde multiple, notamment exploitable dans les approches de détection orientée « signal ». Enfin, à partir de l'outil résultant des travaux précédents, le procédé de diagnostic a pu être déterminé. La sensibilité de détection est le critère principal pour la définition de la technique instrumentale et des traitements de signaux du procédé. L'influence des conditions de fonctionnement sur la sensibilité de détection est évaluée et est considérée pour le choix des solutions retenues. Ce procédé a été validé expérimentalement sur un alternateur synchrone à rotor bobiné de 5.4KVA.
This thesis deals with the detection of stator winding faults in electrical machines containing a damping structure. Short-circuits between turns of the same winding are often the premise for the appearance of other winding faults, the consequences of which are more severe. Early detection is therefore essential to preserve machines and their human or material environment. In this book, we propose an innovative solution to short-circuit discrimination based on the redundancy of signals measured at the rotor. To define this, high-order modelling combining the finite element approach and that of coupled circuits was used. The first is used to determine the parameters (magnetic couplings) exploited by the second which is none other than the behavioural model. As the downside of this combination of approach is the time taken to identify magnetic couplings and the knowledge that various coil configurations must be modelled, a new identification methodology was developed. After an initial identification (finite elements) at short notice, this offers the possibility of estimating the parameters of a desired winding configuration without reusing the finite element resolution. In addition to its use to implement the detection method presented, this identification methodology is a generator of useful parameters for detections based on "parametric estimation". The modelling of coupled circuits presents an excellent precision / calculation time ratio and a good efficiency in the representation of spatial-temporal phenomena. Integrating a winding fault requires changing the model's circuit equations. In order to achieve the objective of this thesis, the structure of the model has been modified to introduce the short circuits between turns at the stator. Apart from the application presented, the association of the identification method with the behavioural model allows the rapid production of multiple waveforms, particularly usable in "signal" oriented detection approaches. Finally, from the tool resulting from the previous work, the diagnostic process could be determined. The detection sensitivity is the main criterion for the definition of the instrumental technique and the signal processing of the process. The influence of the operating conditions on the detection sensitivity is evaluated and is considered for the choice of the solutions adopted. This process has been validated experimentally on a synchronous alternator with wound rotor of 5.4KVA.
This thesis deals with the detection of stator winding faults in electrical machines containing a damping structure. Short-circuits between turns of the same winding are often the premise for the appearance of other winding faults, the consequences of which are more severe. Early detection is therefore essential to preserve machines and their human or material environment. In this book, we propose an innovative solution to short-circuit discrimination based on the redundancy of signals measured at the rotor. To define this, high-order modelling combining the finite element approach and that of coupled circuits was used. The first is used to determine the parameters (magnetic couplings) exploited by the second which is none other than the behavioural model. As the downside of this combination of approach is the time taken to identify magnetic couplings and the knowledge that various coil configurations must be modelled, a new identification methodology was developed. After an initial identification (finite elements) at short notice, this offers the possibility of estimating the parameters of a desired winding configuration without reusing the finite element resolution. In addition to its use to implement the detection method presented, this identification methodology is a generator of useful parameters for detections based on "parametric estimation". The modelling of coupled circuits presents an excellent precision / calculation time ratio and a good efficiency in the representation of spatial-temporal phenomena. Integrating a winding fault requires changing the model's circuit equations. In order to achieve the objective of this thesis, the structure of the model has been modified to introduce the short circuits between turns at the stator. Apart from the application presented, the association of the identification method with the behavioural model allows the rapid production of multiple waveforms, particularly usable in "signal" oriented detection approaches. Finally, from the tool resulting from the previous work, the diagnostic process could be determined. The detection sensitivity is the main criterion for the definition of the instrumental technique and the signal processing of the process. The influence of the operating conditions on the detection sensitivity is evaluated and is considered for the choice of the solutions adopted. This process has been validated experimentally on a synchronous alternator with wound rotor of 5.4KVA.
Didier, Gaëtan. "Modélisation et diagnostic de la machine asynchrone en présence de défaillances." Nancy 1, 2004. http://www.theses.fr/2004NAN10163.
Full textIn this study, we move on to the broken rotor bar diagnosis of squirrel-cage induction machines. The first part is devoted to the development of a model which is based on the magnetically coupled electric circuits. We present three methods allowing detection of a rotor defect of an induction machine. The first method is based on the evaluation of several indexes calculated starting from the amplitude of the components present in the spectra of the instantaneous power and the line current. The second method of detection suggested uses the stator current spectrum phase calculated starting from a Fourier Transform. To improve the detection, we use the Hilbert transform phase calculated starting from the stator current spectrum module. These approaches have the characteristic to be based on any threshold of reference to establish the presence of a broken rotor bar
Casimir, Roland. "Diagnostic des défauts des machines asynchrones par reconnaissance des formes." Phd thesis, Ecole Centrale de Lyon, 2003. http://tel.archives-ouvertes.fr/tel-00139706.
Full textLebaroud, Abdesselam. "Diagnostic des défauts des machines asynchrones : approche signal et système." Lyon 1, 2007. http://www.theses.fr/2007LYO10288.
Full textThe main piece of the electrical training systems is the induction machine which, during the last three decades, made the object of numerous researches orientated mainly toward the conception of order laws always more competitive. Its numerous qualities, its weak cost, its robustness and its performances make a machine particularly appreciated in industrial middle. The imperatives of reliability and productivity of installations require the incorporation of a system of detection and diagnosis of faults. It is therefore necessary to endow the induction machines of monitoring tools; so we shall be able to avoid faults and untimely stopping. In our step for the faults diagnosis of the induction machine, two approaches have been developed: the first one consists in implementing techniques and methods of treatment and analysis of the signal making facilitating the visual interpretation of the faults and possibly its implantation in a monitoring system. The second approach is said "system" based on tools of classification, in this case Time - frequency Representation (TFR) linked to a decision criterion based on the distances Mahalanobis. The TFR serves to the extraction of the appropriate points which separate maximally, according to the Fisher criteria, two states: one healthy and the other in fault. Nevertheless the choice of points is appraised, what makes this method semi automatic. The association TFR - HMM (Hidden Model of Markov) allows the complete automation of the diagnosis procedure of the faults since the acquisition and the data processing until the decision making
Assaf, Talal. "Contribution à la détection des défauts électriques dans une machine à induction basse tension." Amiens, 2004. http://www.theses.fr/2004AMIE0401.
Full textPetropol, Siana-Elena. "Ondelettes et diagnostic : application aux défauts diélectriques et électriques des machines tournantes." Grenoble INPG, 2001. http://www.theses.fr/2001INPG0077.
Full textThe purpose of this work is the diagnosis of dielectric and electric faults of electrical drives, more precisely, the diagnosis of changes or anomalies in the measured signals. By its time-frequency localization, the Multiresolution Analysis is adaptable to fault diagnosis. He choices of the mother wavelet and of the number of decomposition levels are the freedom degrees, which allow this method to extract relevant information from the analyzed signals. Its implementation by numerical filters reduces the computations cost. The fault detection method computes on-line the wavelet coefficients. A gradual alarm rate is delivered function of the fault type and persistency. The fault isolation and identification methods take into account the spectral contents of the coefficients vector at each decomposition level to determine the fault membership of a class of known fault types and further to estimate the fault amplitude. New classes of faults may be created. The fault detection method has been initially conceived to detect the insulation quick aging and has been further validated for the asynchronous motor parameter fault detection. The fault isolation and identification methods have been developed and verified only for the asynchronous motor application. The Multiresolution Analysis freedom degrees confer flexibility to the developed methods with regard to different applications
Hedayati, Kia Shahin. "Méthodes avancées de traitement du signal pour la détection de défauts électriques et mécaniques dans les machines à induction : Application aux systèmes de traction ferroviaire." Amiens, 2009. http://www.theses.fr/2009AMIE0116.
Full textThe monitoring and diagnosis of the electrical and mechanical faults in railway traction systems have been studied in this dissertation. The railway traction system works in complex condition in which traditional techniques of signal processing cannot be used intensively. Initially, different methods such as non-parametric, parametric and subspace techniques have been examined and finally a method based on MUSIC (MUltiple SIgnal Classification) has been proposed to improve diagnosis of broken bar fault in induction machine, by detecting a large number of frequencies in a given bandwidth. This method is called zoom-MUSIC. The broken bar fault diagnosis in induction machines needs the speed information in order to localize the side-band frequencies around the fundamental in the stator current spectrum. The accurate slip estimation needs also advance signal processing. This fact has been used to define a new technique of broken bar fault detection based on discrete wavelet transform without slip estimation. The non-invasive techniques for mechanical system monitoring are interesting alternatives leading to low cost diagnosis systems. In this way, a theoretical framework has been proposed to show all the effects of a gearbox-based mechanical system torsional vibration on mechanical torque and then on the stator current of the driving machine. This study has been carried out with a basic modeling approach based on the realistic dynamic behavior of a healthy gearbox to show the influence of transmission error, eccentricities of pinion/wheel and teeth contact stiffness variation in the electromagnetic torque and the stator current signatures. In order to test the effectiveness of proposed methods under healthy and faulty mechanical conditions, a unique reduced-scale set-up based on a real railway traction system has been realized and instrumented. The diagnostic methods validated in this reduced-scale, will be in the near future implemented in a scale 1 industrial experimental set-up
Books on the topic "Machines – Défauts"
Boulenger, Alain. Surveillance des machines par analyse des vibrations. Paris: L'Usine Nouvelle, 2009.
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