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Статті в журналах з теми "Détection/estimation de défauts"
Belhachmi, Zakaria, and Dorin Bucur. "Détection et approximation de défauts non-réguliers." Comptes Rendus Mathematique 340, no. 6 (March 2005): 457–60. http://dx.doi.org/10.1016/j.crma.2005.02.011.
Повний текст джерела-FICKERT, Lothar. "Détection et localisation des défauts à la terre." Revue de l'Electricité et de l'Electronique -, no. 02 (1996): 76. http://dx.doi.org/10.3845/ree.1996.024.
Повний текст джерелаPham, Duc, Bertrand Raison, Isabelle Gal, Sylvie Bonnoit, and Jean-Pierre Rognon. "Détection et localisation des défauts dans les réseaux électriques." Revue internationale de génie électrique 7, no. 5-6 (December 30, 2004): 513–42. http://dx.doi.org/10.3166/rige.7.513-542.
Повний текст джерелаAuzanneau, Fabrice, and Nicolas Ravot. "Détection et localisation de défauts dans des réseaux filaires de topologie complexe." Annales Des Télécommunications 62, no. 1-2 (January 2007): 193–213. http://dx.doi.org/10.1007/bf03253256.
Повний текст джерелаGarcia Melero, Manuel, Manes Fernandez Cabanas, Carlos Hiram Rojas, Gonzalo Alonso Orcaja, Jose Manuel Cano, and Gérard André Capolino. "Système pour la détection de défauts d’isolement dans les moteurs à induction." Revue internationale de génie électrique 5, no. 1 (March 30, 2002): 49–61. http://dx.doi.org/10.3166/rige.5.49-61.
Повний текст джерела-DRUML, Gernot. "Détection de défauts à la terre très résistants sur les réseaux compensés." Revue de l'Electricité et de l'Electronique -, no. 02 (1996): 68. http://dx.doi.org/10.3845/ree.1996.023.
Повний текст джерелаHenry, D., P. Permane, and Y. Dubuisson. "Vision artificielle : détection et archivage de défauts de surface sur tôles décapées." Revue de Métallurgie 89, no. 7-8 (July 1992): 645–54. http://dx.doi.org/10.1051/metal/199289070645.
Повний текст джерелаBen 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.
Повний текст джерелаJamouli, Hicham, Dominique Sauter, and Jean-Yves Keller. "Synthèse d'un filtre de détection de défauts robuste. Approche par inversion du système." Journal Européen des Systèmes Automatisés 41, no. 9-10 (December 30, 2007): 1021–44. http://dx.doi.org/10.3166/jesa.41.1021-1044.
Повний текст джерелаHenao, H. "Détection des défauts de coulage dans les rotors à cage d'écureuil à l'arrêt." J3eA 4 (2005): 006. http://dx.doi.org/10.1051/bib-j3ea:2005856.
Повний текст джерелаДисертації з теми "Détection/estimation de défauts"
Farhat, Ahmad. "Détection, localisation et estimation de défauts : application véhicule." Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAT056/document.
Повний текст джерелаModern vehicles are increasingly equipped with new mechanisms to improve safety, comfort and ecological impact. These active systems employ sensors, actuators and automatic control systems. However, in case of failure of one these components, the consequences for the vehicle and the passengers safety could be dramatic. In order to ensure a higher level of reliability within on board diagnosis, new methodologies for sensor or actuator fault detection, location and estimation are proposed. These model based approaches are extended for robust synthesis for switched uncertain systems. In addition, a method for detecting critical stability situation is presented. The validation of the different methods is illustrated with simulations using CarSim, and application on real vehicle data within the INOVE project
Bazine, Imène. "Identification en boucle fermée de la machine asynchrone : application à la détection de défaut." Poitiers, 2008. http://theses.edel.univ-poitiers.fr/theses/2008/Ben-Ameur-Bazine/2008-Ben-Ameur-Bazine-These.pdf.
Повний текст джерелаThis thesis presents the application of a closed loop identification technique to induction machines, including explicitly the control algorithm. Basically, direct identification is asymptotically biased by output disturbances and noises which are feedback to the control input via the control algorithm. In order to get rid of this bias problem, an indirect identification technique with explicit use of the controller is proposed. Moreover, a prior knowledge of the control algorithm is replaced by its identification with the help of an overparametrized least squares techniques, which avoids knowledge of the structure and the parameters of the controller. An equivalent minimal structure controller is estimated thanks to an original criterion based on discrete moments. The identification of induction machines is performed with this equivalent controller using an output error technique. Comparative studies performed by Monte Carlo simulations have exhibited bias rejection and better precision of indirect identification, while necessary excitation is only provided by torque variations of the machine load. Finally, this new closed loop identification technique has been applied to the diagnosis of induction machines, with the benefit of better detection of stator and rotor faults, thanks to better rejection of false alarms
Nowakowski, Samuel. "Détection de défauts dans les séries temporelles." Nancy 1, 1989. http://www.theses.fr/1989NAN10074.
Повний текст джерелаLaboudi, Khaled. "Contribution à la détection et à l'estimation des défauts pour des systèmes linéaires à commutations." Thesis, Reims, 2017. http://www.theses.fr/2017REIMS030/document.
Повний текст джерелаThis work deals with the problem of estimation of fault and hybrid state for a classof switched linear systems. The objective is to develop a method to synthesize anobserver and an estimator dedicated respectively to the estimation of the hybridstate and the faults. After presenting a state of the art for estimation, stabilityand diagnostic techniques for switched linear systems, the report is divided intotwo parts. The first part proposes a method for estimating the continuous stateand the faults in the case where the discrete state of the system is known. Basedon a coordinate transformation which decouples a subset of the state of the systemof faults, we first synthesized a hybrid observer to estimate the continuous stateof the system and, in a second step, an estimator allowing the reconstructionof faults. The proposed fault estimator depends on the derivative of the systemoutput. For this reason, a robust and accurate differentiator based on sliding modetechniques is used. In the second part of this paper, the discrete state of the systemis assumed unknown. An algebraic approach is proposed to estimate the switchingtimes between the different subsystems. Thereafter, the estimation of the hybridstate (continuous and discrete state) and of the faults is considered in the casewhere the discrete state of the system is unknown. The latter is reconstructedfrom the estimated switching times and on a known switching sequence. Thecontinuous state of the system is estimated using a pole placement method allowingimprove the performances of the transient phase. Finally, by exploiting the resultsfound in the first part, the estimation of the faults is considered by estimatingthe output of the system with an algebraic differentiator. This differentiator givesmore interesting results at the noise compared to the differentiator based on thesliding mode techniques used in the first part
Ben, Chabane Sofiane. "Techniques de détection de défauts à base d’estimation d’état ensembliste pour systèmes incertains." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLC007/document.
Повний текст джерелаThis thesis proposes a new Fault Detection approach for linear systems with interval uncertainties, bounded perturbations and bounded measurement noises. In this context, the Fault Detection is based on a set-membership state estimation of the system. The main contributions of this thesis are divided into three parts:- The first part proposes an improved method which combines the good accuracy of the zonotopic set-membership state estimation and the reduced complexity of the ellipsoidal set-membership estimation.- In the second part, a new ellipsoidal state estimation approach based on the minimization of the ellipsoidal radius is developed, leading to Linear Matrix Inequality optimization problems. In this context, both multivariable linear time-invariant systems and linear time-variant systems are considered. An extension of these approaches to systems with interval uncertainties is also proposed. - In the continuity of the previous approaches, two Fault Detection techniques have been proposed in the third part based on these set-membership estimation techniques. The first technique allows to detect sensor faults by checking the consistency between the model and the measurements. The second technique is based on Multiple Models. It deals with actuator/component/sensor faults in the same time. A Min-Max Model Predictive Control is developed in order to find the optimal control and the best model to use for the system in spite of the presence of these faults
Gahlouz, Ibtiseme. "Estimation de défauts composants par un observateur à entrées inconnues : approche bond graph." Thesis, Lille 1, 2014. http://www.theses.fr/2014LIL10005/document.
Повний текст джерелаThe thesis concerns the estimation of system components faults by using an unknown inputs observer. To reach this goal, we used the Bond Graph approach to physical modelling. We showed that this graphical tool is allowing the representation of system components faults as unknown inputs within the state representation of the considered physical system. The study of the causal and structural features of the system (controllability, observability, finite structure and infinite structure) based on the Bond Graph approach was hence fulfilled in order to design an unknown inputs observer which is used for the system component fault estimation. The component fault is considered as an unknown input. The approach proposed in this work wad validated through an application to a hydraulic system. The experimental results showed the effectiveness of this particular observer for the monitoring of the system components
Touati, Youcef. "Diagnostic robuste et estimation de défauts à base de modèle Bond Graph." Thesis, Lille 1, 2012. http://www.theses.fr/2012LIL10100/document.
Повний текст джерелаThis work deals with robust bond graph model-based fault diagnosis. The main objectives of this work are related to the generation of robust thresholds with respect to measurement uncertainties, and the creation of a systematic procedure for the generation of fault estimation equations. A procedure of thresholds generation based on a graphical representation of the measurement uncertainty has been developed and implemented on a real system. The Bond graph under LFT (linear fractional transformation) form has been used for the generation of fault estimation equations. These equations are used to improve the decision step concerning the isolation of the faults having the same signature and for analyzing the sensitivity of the residuals to faults affecting sensors, actuators and parameters. The algorithms developed in this work have been on a mechatronic system representing a mobile robot, called: Robotino
Rahme, Sandy. "Détection et estimation d'anomalies dans un réseau de communication." Phd thesis, Université Paul Sabatier - Toulouse III, 2011. http://tel.archives-ouvertes.fr/tel-00667420.
Повний текст джерелаHocine, Abdelfettah. "Estimation d'état et diagnostic de systèmes à commutation par filtrage multi-modèle." Phd thesis, Institut National Polytechnique de Lorraine - INPL, 2006. http://tel.archives-ouvertes.fr/tel-00135049.
Повний текст джерелаZhang, Xiaoxia. "Incipient anomaly detection and estimation for complex system health monitoring." Electronic Thesis or Diss., université Paris-Saclay, 2020. http://www.theses.fr/2020UPASG025.
Повний текст джерелаIncipient fault detection and diagnosis in engineering and multivariate industrial systems with a high-level noise are addressed in this Ph.D. thesis by a ’global’ non-parametric statistical approach. An incipient fault is supposed to induce an abnormal change in the measured value of the system variable. However, such change is weak, and it tends not to cause obvious changes in the signal distribution’s parameters. Especially in high noise level environment, the weak fault feature can be masked by the noise and becomes unpredictable. In such a condition, using traditional parametric-based methods generally fails in the fault detection. To cope with incipient fault detection and diagnosis, a ’global’ approach that can consider the total faults signature is needed. The incipient fault detection can be obtained by measuring the differences between the signal distributions before and after the fault occurrence. Some distribution-based ’global’ methods have been proposed, however, the detection capabilities of these existed approaches in high noise level environment should be improved. In this context, Jensen-Shannon divergence is considered a ’global’ fault indicator to deal with the incipient fault detection and diagnosis in a high noise level environment. Its detection performance for small abnormal variations hidden in noise is validated through simulation. In addition, the fault estimation problem is also considered in this work. A theoretical fault severity estimation model depending on the divergence value for the Gaussian condition is derived. The accuracy of the estimation model is evaluated on numerical models through simulations. Then, the ’global’ statistical approach is applied to two applications in engineering. The first one relates to non- destruction incipient cracks detection. The Jensen-Shannon divergence combined with Noisy Independent Component Analysis and Wavelet analysis was applied for detection and characterization of minor cracks in conductive structures with high-level perturbations based on experimental impedance signals. The second application addresses the incipient fault diagnosis in a multivariate non-linear process with a high-level noise. Tennessee Eastman Process (TEP) is one typical multivariate non-linear process, the Jensen-Shannon divergence in the Kernel Principal Component Analysis (KPCA) is developed for coping with incipient fault detection in this process
Книги з теми "Détection/estimation de défauts"
Detection and estimation methods for biomedical signals. San Diego: Academic Press, 1996.
Знайти повний текст джерела1949-, Patton Ron, Clark Robert 1925-, and Frank Paul M, eds. Issues of fault diagnosis for dynamic systems. London: Springer, 2000.
Знайти повний текст джерелаIssues of Fault Diagnosis for Dynamic Systems. Springer London, Limited, 2013.
Знайти повний текст джерела(Editor), Ron J. Patton, Paul M. Frank (Editor), and Robert N. Clark (Editor), eds. Issues of Fault Diagnosis for Dynamic Systems. Springer, 2000.
Знайти повний текст джерелаFrank, Paul M., Robert N. Clark, and Ron J. Patton. Issues of Fault Diagnosis for Dynamic Systems. Springer London, 2010.
Знайти повний текст джерела