Дисертації з теми "Défaut système"
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Aubrun, Christophe. "Reconfiguration des lois de commande de systèmes en présence de défauts : application à un système thermique." Nancy 1, 1993. http://www.theses.fr/1993NAN10001.
Ripoll, Patrick. "Conception d'un système de diagnostic flou appliqué au moteur automobile." Chambéry, 1999. http://www.theses.fr/1999CHAMS024.
Hamad, Mohamad. "Validation des mesures et détection des capteurs défaillants dans un système de contrôle commandé." Lille 1, 1986. http://www.theses.fr/1986LIL10094.
Louis, Rambeaux Florence. "Génération et évaluation de résidus pour le diagnostic de systèmes incertains : approche fréquentielle." Nancy 1, 2001. http://www.theses.fr/2001NAN10018.
Mechmeche, Chokri. "Contribution à la synthèse des observateurs des systèmes bilinéaires à entrées inconnues : application au diagnostic." Nancy 1, 1995. http://www.theses.fr/1995NAN10378.
Qiu, Lei. "Caractérisation d'un système par impédance thermique : application à la détection de défauts résistifs dans une structure en béton." Thesis, Artois, 2011. http://www.theses.fr/2011ARTO0208.
The work developed is located in the context of thermal identification and non-destructive testing of systems. The objective is to describe the behavior of stable or slowly progressive approach by identifying thermophysical parameters. The approach is to first establish the theoretical model of the system tested in the basic "explanation" which is usually the time and, from experimental results to be determined by optimizing the parameters sought. The system studied is characterized by its response function (transfer function, impedance,...). In these functions, the medium is characterized by global parameters or apparent. Our analysis is placed in the frequency domain where the convolution product, which exists in the space of time, turns into a single product. The system is then characterized by its transfer function. The study of flow-temperature relationships in a plane leads to introduce the concept of thermal impedance. Developments and applications made in this work are related to the thermal characterization of concrete in the laboratory and in situ and the detection of defects adequately contrasted positioned at different depths. The ultimate goal is to be able to use the solicitation for the identification of natural systems. The difficulty lies in the exploitation of natural data so random in a process located in the frequency domain. Flux measurements and temperature are performed on one side of access, which is in contact with the outside microclimatic environment
Banoune, Sid-Ali. "Contribution de l'approche combinée simulation-système expert à la prévention et au diagnostic de pannes : application au système de réfrigération dans le secteur agro-alimentaire." Châtenay-Malabry, Ecole centrale de Paris, 1997. http://www.theses.fr/1997ECAP0672.
Menighed, Kamel. "Commandes coopératives embarquées et tolérantes aux défauts." Phd thesis, Université Henri Poincaré - Nancy I, 2010. http://tel.archives-ouvertes.fr/tel-00545412.
Gaddouna, Besma. "Contribution au diagnostic des systèmes linéaires invariants à entrées inconnues : application à un procédé hydraulique." Vandoeuvre-les-Nancy, INPL, 1995. http://www.theses.fr/1995INPL034N.
Abalot, Emile-Jules. "Le volley-ball dans le système sportif de la République du Bénin : discipline marginale et/ou défaut d'organisation." Bordeaux 2, 1993. http://www.theses.fr/1993BOR28232.
The main ideao of this work is to present approaches related to physical practis and sportives in French West Africa (ex :A. O. F. ). This approach takes into account the historical and structural factures of the subject. The proposed study encomposes the Benin Republic socio-historical related sportives concepts. It is shown that the most part of people are in general constrained to follow one and only one sportive skill, which is the usual football, to the detriment of a diversified sportive culture amongst others : athletics, basket-ball, hanball, volley-ball. Such an observation can be analysed in the light of three different identified levels : Structural socio-cultural, Ideologic, politic, And organizational characteristics. The thesis shows that it is possible to place these characteristics and their corresponding factors in a hierachical order, according to different disciplines. It appears that the advantages (e. G. Football) as drawbacks (e. G. Volley-ball) are cumulative. This analysis lead us to formulate the physpothesis that a dynamic development of different sportive disciplines must lean on organization of a « systemic », whose interaction allows a complete affirmation of the sportive culture. Finally, the thesis involves an answer to question which is mainly the general. The search of information diffusion methods in which all animation structures and political administrative institutions cooperative skill of people without loosing traditional culture
Ambiehl, Alexandre. "Analyse, modélisation et méthodes de compensation du défaut de suivi de trajectoire pour le parachèvement robotisé : cellule robotisée de parachèvement pour l’usine du futur." Thesis, Nantes, 2017. http://www.theses.fr/2017NANT4024.
The finishing of aluminium aeronautical parts is a great share of the overall production cost. The aim of this work is to facilitate operation transfert from manual operations and machines operations to robotic cells that are economically more interesting. This thesis seeks to improve the identification of a kinetostatic model for industrial robots and provide an offline correction method for mid-size part production volume. The first chapter is a state of the art in finishing operations and the involved processes, mainly machining, grinding and sanding that we considered in this study. It presents robots architecture and models (kineto-static and geometric). We show example of path tracking errors and the associated causes according to the literature. In the next chapter, we study the existing kineto-static identifications methods. We review the actual implementation of the methods and offer improvements. We study the influence of the geometrical reconstruction methodology applied in those identification methods by a sensibility analysis on the stiffness parameters. We propose a new identification method based on decoupling equations. This method brings more reliable results and robustness in the value of the stiffness parameters. The contribution of this method is justified by its application on a double encoder robot (KUKA KR 300 SE). The last chapter is a proposal for an improvement in the mirror correction method for trajectory correction. This new proposal takes into account the dynamics of the command created by the mirror method. It is applied on circular trajectories and measured thanks to a Ballbar tool
Rammal, Rim. "Caractérisation des sorties plates pour le diagnostic de systèmes entiers ou non entiers : application pour le diagnostic d’un système hydraulique et d’un système thermique." Thesis, Bordeaux, 2021. http://www.theses.fr/2021BORD0021.
The differential flatness is a property of dynamic systems that allows the transformation of a very complex system into a simpler one called flat system. Roughly speaking, a dynamic system is said to be flat if, and only if, there exists a vector, called flat output vector and formed by the state and input variables, such that all the system states, inputs and outputs can be expressed in function of this new vector and its successive time derivatives. The differential flatness property has many applications in automatic control theory, such as trajectory planning, trajectory tracking and the designing of robust controllers. Moreover, the flatness property has recently entered the field of fault detection and isolation. In short, fault detection and isolation is a sub-domain of automatic control engineering that deals with monitoring a system, identifying when a fault has occurred, and determining the type of fault and its location. Fault detection is performed by analyzing the difference between sensor and actuator measurements and their expected values, derived from any model and called redundant values. It is common to say that an error is detected if the deviation or residue exceeds a certain predefined threshold. Fault isolation, in turn, must make it possible to locate the fault in the machine. The most recent method of fault detection and isolation, based on the flatness property, calculates redundant variables from the measurement of the flat output of the system and its successive time derivatives. Then, the residues are deduced from the difference between the measured variables and the redundant variables. Fault detection by this method is guaranteed. However, the use of a single flat output does not allow, in some cases, to isolate some faults. The idea proposed by the developers of the method was to use several flat outputs to increase the number of the residual signals, which would increase the chances of isolating more faults. However, it was also noticed that the choice of these flat outputs is not arbitrary. That is, there are flat outputs that, when used together, increase the isolability of faults and others that do not. One of the objectives of this manuscript is to characterize the flat outputs in order to obtain a better fault isolability. This characterization is then verified by simulations and experiments on a hydraulic system, the three-tank system.Over the last decade, numerous studies have shown that there are systems such as thermal systems, viscoelastic systems and chemical systems that can be modeled by fractional differential equations. Therefore, classical methods of fault detection and isolation, originally developed to deal with integer order systems, were not suitable for fractional order systems, and fault detection and isolation methods specific to fractional order systems had to be developed. A second objective of this manuscript is to extend the characterization of flat outputs, proposed for the class of integer order flat systems to the class of fractional order linear flat systems, and then to apply this characterization to the detection and isolation of faults that may appear on the sensors and actuators of these systems. The effectiveness of this characterization is also verified by simulations on a bi-dimensional thermal system
Roth, Sandrine. "Diagnostic d'une installation sidérurgique complexe : analyse de la ligne et proposition d'une architecture pour un système de diagnostic-supervision dédié." Nancy 1, 1995. http://www.theses.fr/1995NAN10430.
The subject of this study is about a continuous galvanising line. The general objective of this work is the realisation of a default detection, diagnosis and operators assistance system. That kind of system is intended to the control and to the maintenance of the Sollac complex plant, in order to improve the production and the product quality and the productivity. At first, we have searched any interesting information about the galvanising line, to understand the functioning of each processes which are involved in the production of galvanised iron sheet. Then, the bibliographical analysis of knowledged based diagnosis methods (neural networks, expert systems, fuzzy logic, qualitative physics) is writen to find a strategy to supervise such a non linear multi-variable system. The model based methods are useless because of the lack of available models. The next stage concerned the mesurements collections. The measurements analysis results allow us to build a knowledge base with some defaults trees (defaults, causes and effects) and treatment rules. Then the supervision system architecture is defined. A multi-agent system is described to realise the whole monitoring system and a structure based on an object model is proposed to implement that system
Jamouli, Hicham. "Génération de résidus directionnels pour le diagnostic des systèmes linéaires stochastiques et la commande." Phd thesis, Université Henri Poincaré - Nancy I, 2003. http://tel.archives-ouvertes.fr/tel-00005813.
Bélanger, David. "Comparaison entre la probabilité de défaut de paiement d'une PME déterminée par un système de notation et par le jugement d'experts." Thèse, Université du Québec à Trois-Rivières, 2010. http://depot-e.uqtr.ca/1257/1/030155777.pdf.
Boutleux, Emmanuel. "Diagnostic et suivi d’évolution de l’état d'un système par reconnaissance des formes floues : application au modèle du réseau téléphonique français." Compiègne, 1996. http://www.theses.fr/1996COMP929S.
Aouini, Marwen. "Système intelligent utilisant les ondes ultrasonores guidées et le forage de données en vue de la maintenance prédictive." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0228.
In the Industry 4.0 era, predictive maintenance and internet-of-things are gaining ground. This kind of maintenance does not include yet structural health monitoring (SHM) by guided ultrasonic waves (UGW) in particular. The final objective of the thesis is to develop a tool to enhance this type of maintenance. SHM is an emerging approach that allows continuous monitoring of the structural health of a given structure. It is generally done in three main steps: data acquisition, defect detection and localization (diagnosis) and estimation of the residual life (prognosis). The first step requires the use of non-destructive testing systems such as that of UGW in this thesis. However, these systems were designed to perform spot checks and require the intervention of qualified operators. In this thesis, a system of generation and acquisition of UGW data, allowing among other things to connect the structure to be monitored to a cellular network, has been developed. This allows the construction of databases (which can be heterogeneous) in an automatic and low-cost way. Moreover, a particular attention was paid to the optimization of its power supply to guarantee the most autonomy possible. The second step consists in exploiting these data in order to detect the defect and to localize it. Three approaches have been proposed, depending on the required computing power and the degree of non-stationarity of the data (i.e. due to the instability of the environment of the structure and of the said measurement system). All three approaches are based on the novelty detection technique. In the case where a defect is detected, prediction algorithms of its evolution in time can be used to estimate the residual life of the structure, which is the last monitoring step. Here, a methodology based on a hybrid algorithm, using the empirical mode decomposition technique and an integrated moving average autoregressive model, has been developed. The results obtained on laboratory and in-situ structures show the relevance of the proposed monitoring methodology. Nevertheless, further work is needed to improve the technological maturation of the developed system
Arous, Ahmed. "Stratégies de localisation du (des) composant(s) défaillant(s) pour un système multi-composant." Thesis, Université Laval, 2012. http://www.theses.ulaval.ca/2012/28861/28861.pdf.
In this paper, we address the problem of the localization of the component(s) responsible(s) for the failure. Each component is subjected to random failures. Some tests help the detection of the state of a component or a subsystem. The objective of this research is to exploit the available knowledge and techniques to generate the tests sequence that locate quickly the (s) component (s) responsible (s) of system failure. We consider a system which operates according to a structure series and of which we know the test costs and the conditional probability that a component (i) is out of service. We analyze the different diagnostic strategies. Some examples, taken from the literature, are used to illustrate each procedure covered. Many extensions are proposed to handle the case where the diagram of the system is not necessarily "series". The algorithms treated are based of probabilistic analysis of systems, the information theory, the heuristic approach and the dynamic programming.
Menighed, Kamel. "Commandes coopératives embarquées et tolérantes aux défauts." Electronic Thesis or Diss., Nancy 1, 2010. http://www.theses.fr/2010NAN10071.
The work presented in this memory of thesis focuses on fault tolerance in the case of linear systems. Digital communication tools are used in the context of the implementation of an architecture for fault tolerant control of complex systems. A cooperation between the control/diagnosis blocks ensures the tolerance to certain types of faults which affect the system. Control systems is traditionally carried out starting from a central computer that collects all information gathered on the process. Then, these information are treated in order to develop a set of command which is applied to the process. Thanks to the development of the Networked System Control and embedded systems, systems architecture is oriented towards a distributed control and diagnostic algorithms. One proposes to address the problem of designing distribution strategies for diagnosis/control and control tasks cooperation between sub-controllers associated at each subsystem comprising the complex system and to take into account the faults on the actuators and sensors that affect the subsystems. Then a cooperative control strategy is proposed. It aims at compensating the effects of the faults affecting the system. Local controls are based on Model Predictive Control (MPC). An analysis of stability was made taking into account the failure of the communication network
Sid, Mohamed Amine. "Co-conception diagnostic et ordonnancement des mesures dans un système contrôlé en réseau." Electronic Thesis or Diss., Université de Lorraine, 2014. http://www.theses.fr/2014LORR0003.
The works developed in this thesis deal with 'fault diagnosis and sensor scheduling co-design' in networked control system. This multidisciplinary subject requires theoretical knowledge in both fault diagnosis and communication networks. Our contribution consists in developing a co-design approach that integrates in the same framework the characteristics of fault diagnosis performance and real time sensor scheduling. The main benefit of this approach is minimizing the required network resources for attending acceptable fault diagnosis performances. We are interested in the development of more efficient and more adapted for real time implementation fault diagnosis algorithms while taking into account different types of communication constraints. In conjunction with these algorithms, two sets of sensor scheduling techniques are used : - Off-line scheduling - On-line scheduling (event triggered sampling) For off-line scheduling, the communication sequences are designed before the implementation of the diagnostic algorithm. In this context, we proposed several techniques for scheduling with different spatial and temporal complexity and adapted to different operating condition for the detection and the isolation of faults based on the information provided by the selected communication sequences. Moreover, we deal also with on-line scheduling techniques based on the event triggered sampling developed during the last decade. In This approach measurement packets are transmitted if and only if the transmission condition (event) is verified. This saves resources provided by the network while maintaining acceptable performance of fault diagnosis. The objective of these algorithms is to minimize the number of transmitted information which means less energy consumption and has a major importance in wireless networked control systems
Fragkoulis, Dimitrios. "Détection et localisation des défauts provenant des capteurs et des actionneurs : application sur un système non linéaire." Phd thesis, Université Paul Sabatier - Toulouse III, 2008. http://tel.archives-ouvertes.fr/tel-00339630.
Batteux, Michel. "Diagnosticabilité et diagnostic de systèmes technologiques pilotés." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00643460.
Begotto, Vincent. "Etude et conception d'un système de surveillance et de diagnostic vibratoires de boîtes de vitesses." Nancy 1, 1997. http://www.theses.fr/1997NAN10040.
Bendjedia, Bachir. "Gestion et optimisation d’énergie électrique avec tolérance aux défauts d’un système hybride PàC/ batterie." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS229.
The work of this thesis is part of a theme that concerns the optimal sizing and energy management resilient to the faults of a multi-source system (hybrid) for the power supply of an electric vehicle. In our case, the storage system consists of a fuel cell as the main source and a secondary source based on a Li-ion battery. The study carried out on the sizing shows the interest of the hybridization compared to a mono-source single battery or fuel cell only system. The interest of this hybridization in terms of weight, volume and cost becomes more and more important by increasing the autonomy of the vehicle. After scaling the hybrid source for a 700 km drive range, we investigated the influence of battery technology and management methods on the performance of the source (volume, mass, cost, electrical stress applied to the components and the hydrogen consumption of the Fuel Cell / Battery system).The sizing part is followed by the development of an original energy management strategy based on the state of charge of the battery (SOC) to adapt the operating limits of the fuel cell. The results obtained with this method are compared with two other online energy management strategies namely, the frequency division method and the use of a fuzzy supervisor. The strategy developed gave good experimental results in terms of constraints seen by cells and hydrogen consumption. Despite a good sizing of the on-board source and a good optimization of the energy management method, the system is not immune from the fault and can be the seat of several faults that can appear at voltage sensors. and current. In order to ensure the service continuity of the hybrid system in the presence of these faults, a fault-tolerant control strategy has been developed in order to guarantee the stability of the hybrid Fuel Cell/ Battery system and to ensure acceptable performance in degraded mode
Kaddour, Mahmoud. "Contribution à la surveillance et au contrôle de l'intégrité d'un système de localisation GNSS." Thesis, Lille 1, 2016. http://www.theses.fr/2016LIL10126/document.
The current decade has marked the irresistible and irreversible arrival of the GNSS systems in society by making it accessible and essential to many users. Improved performance and reliability of GNSS systems is among the factors that contribute to the exponential development of the field of GNSS applications and services. This improvement is based on the use of estimation methods of geo-positioning which ensures a very high level of integrity. For this, these methods must incorporate a layer of well-developed autonomous integrity monitoring. In this work, we propose approaches for autonomous integrity monitoring of position estimation using GNSS measurements. We have chosen to develop approaches based on an informational formalism: Informational filter on the one hand and tools of the information theory of the other. Residuals based on mutual information are developed. With an appropriate thresholding, these residuals can detect and exclude GNSS erroneous measurements. In this context, other ideas were also developed in order to robustify the developed methods as the projection of GNSS observations in the information space and the development of optimization function in order to ameliorate the prediction of a filter. The proposed methods are tested and validated with real data acquired with an experimental vehicle with several open GNSS systems
Sid, Mohamed Amine. "Co-conception diagnostic et ordonnancement des mesures dans un système contrôlé en réseau." Thesis, Université de Lorraine, 2014. http://www.theses.fr/2014LORR0003/document.
The works developed in this thesis deal with 'fault diagnosis and sensor scheduling co-design' in networked control system. This multidisciplinary subject requires theoretical knowledge in both fault diagnosis and communication networks. Our contribution consists in developing a co-design approach that integrates in the same framework the characteristics of fault diagnosis performance and real time sensor scheduling. The main benefit of this approach is minimizing the required network resources for attending acceptable fault diagnosis performances. We are interested in the development of more efficient and more adapted for real time implementation fault diagnosis algorithms while taking into account different types of communication constraints. In conjunction with these algorithms, two sets of sensor scheduling techniques are used : - Off-line scheduling - On-line scheduling (event triggered sampling) For off-line scheduling, the communication sequences are designed before the implementation of the diagnostic algorithm. In this context, we proposed several techniques for scheduling with different spatial and temporal complexity and adapted to different operating condition for the detection and the isolation of faults based on the information provided by the selected communication sequences. Moreover, we deal also with on-line scheduling techniques based on the event triggered sampling developed during the last decade. In This approach measurement packets are transmitted if and only if the transmission condition (event) is verified. This saves resources provided by the network while maintaining acceptable performance of fault diagnosis. The objective of these algorithms is to minimize the number of transmitted information which means less energy consumption and has a major importance in wireless networked control systems
Sahnoun, Mariem. "Observation des systèmes non linéaires : Application à la détection de défauts." Thesis, Lyon 1, 2014. http://www.theses.fr/2014LYO10322/document.
Among the faults diagnosis methods, the method of residual filters allows to synthesize filters generating signals ( called residues) that are used for fault detection. In our approach, the residual filters are obtained from reduced observers. The objective of this thesis is to synthesize observers and highlight their application to fault detection for nonlinear systems. This thesis is divided into two parts. In the first part, two papers were presented. The rst one relates to the unknown input observers for state ane systems modulo an output injection. The proposed approach is a combination of geometric decoupling techniques and nonlinear observers. We have given sufficient conditions with an algorithm for designing an unknown input observer to estimate a part of the state without the knowledge of some inputs. The second contribution consists to characterize the class of nonlinear systems which can be transformed into cascade systems for which an observer can be designed. First, necessary and sufficient theoretical conditions were given, then an algorithm to compute these transformations (diffeomorphisms) was proposed. Finally, the set of all dieomorphisms was characterized by showing that it is an orbit of an action of a particular group on the set of all dieomorphisms. The second step of the thesis deals with the synthesis of a polytopic Linear Parameter-Varying (LPV) filter to detect, isolate and estimate multiple sensor faults. The advantage of this lter is to generate two types of residuals : one being sensitive to faults and the other is insensitive. The insensitive residual is used to generate an additional qualitative information of the filter efficiency. The stability of the latter has been performed using Linear Matrix Inequality (LMI)
Graton, Guillaume. "Diagnostic des systèmes à l'aide d'observateurs à mémoire finie : application au Common Rail." Phd thesis, Université d'Orléans, 2005. http://tel.archives-ouvertes.fr/tel-00069271.
formulations séquentielles et étude de sensibilité) de la méthode de détection choisie (observateurs
à mémoire finie) et une modélisation du comportement des différents organes du Common Rail, l'algorithme de détection a été testé sur trois modélisations différentes du système Common Rail.
De plus, la comparaison entre l'observateur à mémoire finie et un observateur de Luenberger et un
filtre de Kalman ont permis d'apprécier le degré de robustesse des résidus. Dans l'ensemble, les résultats obtenus permettent de conclure sur la bonne détection des défauts actionneurs et capteurs.
Damdoum, Amel. "Reconfiguration en présence des défauts d'un système de pompage turbinage avec mada et de sa commande." Phd thesis, Toulouse, INPT, 2016. http://oatao.univ-toulouse.fr/16242/1/damdoum_amel.pdf.
Gerber, Timothée. "Suivi dynamique de composantes modulées : application à la surveillance automatique de défauts dans les éoliennes." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT142/document.
The automatic monitoring consists in verifying without any human intervention that a system is operating well. The monitoring allows to use a predictive maintenance strategy, which is economically interesting, especially in the case of isolated systems like off-shore wind turbines. The automatic monitoring is based on signals acquired more or less regularly while the monitored system is operating. The analysis of these signals should be sufficient to diagnose the system and to decide whether or not the maintenance operations should be done. In this thesis, we propose a generic analysis method able to adapt itself to any monitored system. This method is composed by several steps. First, each signal is analyzed individually in order to extract its spectral content, that is to identify the spectral peaks, the harmonic series and the modulation sidebands presents in the signal spectrum. Then, the spectral content is tracked through time to construct spectral trajectories in the sequence of acquired signal. These trajectories are used to generate trends which indicate the state of the system health. Finally, the trends are analyzed to identify a change in the system response which would indicate some wear or a fault in is early stage. This analysis method is validated on real world signals acquired on different mechanical systems
Remmach, Mustapha. "Analyse de défaillance des circuits intégrés par émission de lumière dynamique : développement et optimisation d'un système expérimental." Thesis, Bordeaux 1, 2009. http://www.theses.fr/2009BOR13830/document.
Light emission is a powerful technique for the characterization of failed integrated circuits. For years, faults have been identified in a static configuration of the device. Just by providing the power supply, abnormal current leakage could be located. With the growing complexity of devices, some fault may appear only in the middle of the test sequence. As a result the evolution of light emission was to use the same detector to acquire the image of a running circuit. A new mode of light emission came became available: PICA or picoseconds IC analysis. With this configuration, photons are collected as a function of time. This technique became mainstream for IC debug and failure analysis to precisely characterize IC. Light emission has also reached dynamic IC requirements through PICA and Single-point PICA also known as TRE. However, light emission and TRE is facing a continuous challenge with technologies shrinkage and its associated power supply voltage drop. To work with recent IC technologies with ultra low VDD voltage, it is necessary to take a different approach, to improve the signal to ratio. Two solutions are presented in this document: A best detection system and TRE and PICA signal processing development
Aluze, Denis. "Système de détection et de caractérisation de défauts d'aspect sur des surfaces parfaitement spéculaires et non planes : application au contrôle qualité de produits destinés à l'emballage cosmetique." Dijon, 1998. http://www.theses.fr/1998DIJOS055.
Chabir, Karim. "Diagnostic de défauts des systèmes contrôlés via un réseau." Electronic Thesis or Diss., Nancy 1, 2011. http://www.theses.fr/2011NAN10044.
Today's communications networks are widely used to connect the resources, enabling the remote data transmission, reducing the cabling complexity, minimizing costs and providing easy maintenance. Because of these advantages, the networks have been introduced in automatic systems during recent decades and new industrial network protocols were also developed for the remote control. The systems controlled by networks, the term "Networked Control Systems (NCS)" are automatic traditional systems where the actuators, the sensors, the controllers and other components are distributed around a communication network that can be shared or not with other applications. The data of both control and diagnostic are exchanged between system components (sensor, controller and actuator) via the shared network. This new architecture of control system introduces new problems in terms of variable delay affecting the transmission, the packet loss, etc. With the aim to maintain good performance of diagnostic module face of possible changes introduced by the network, it is interesting to introduce new approaches. We have reported results for the optimal estimation techniques based on Kalman filter, thus creating a report as complete as possible, treating the residual generation and fault isolation in NCS. Our contribution consists, firstly, to develop a state space model of a system controlled via a network. Secondly, we propose a residual generator based on the delay models induced by the network. Finally, we develop a isolation filter in order to directly identify in the actuators faults in a SCR
Chabir, Karim. "Diagnostic de défauts de systèmes contrôlés via un réseau." Phd thesis, Université Henri Poincaré - Nancy I, 2011. http://tel.archives-ouvertes.fr/tel-00653836.
Mencaraglia, Denis. "Influence de l'hydrogène sur les propriétés de transport électronique, la densité et la cinétique des états profonds dans le silicium amorphe élaboré par pulvérisation cathodique." Paris 6, 1987. http://www.theses.fr/1987PA066520.
Motchon, Koffi Mawussé Djidula. "Caractérisation de la discernabilité des systèmes dynamiques linéaires et non-linéaires affines en la commande." Thesis, Lille 1, 2016. http://www.theses.fr/2016LIL10027/document.
The distinguishability of the input-output behavior of two dynamical systems plays a crucialrole in many applications such as control and observation of hybrid dynamical systems. Thisthesis aims to characterize this property of distinguishability. For linear systems and nonlinearcontrol-affine systems, we establish: conditions for strict distinguishability that ensure thedistinguishability of the systems for every control input jointly applied to them; conditions forcontrolled-distinguishability that guarantee the existence of a control input which makes distinguishable the outputs of the systems; conditions for residual-distinguishability that characterize the distinguishability of the modes through parity-space residuals. Moreover, in the linear case, a metric is specified in order to quantify for a given control input, the distinguishability degreeof the systems and the robustness of the property of distinguishability
Fawaz, Khaled. "Contribution à la télésurveillance des systèmes contrôlés en réseau : application à la robotique." Thesis, Lille 1, 2009. http://www.theses.fr/2009LIL10134/document.
In this thesis, we investigate the problem of diagnosis of Networked Control Systems (NCS). The main considered components of the NCS namely the network system and controlled system are completely decoupled according to their operation characteristics. The diagnosis proposed approach is based on the dynamical models of the controlled system and the network system.Two model based fault diagnosis approach are proposed and applied to telerobotics system. The first concerns a discrete and stochastic observer applied to the network system in order to detect and isolate system faults from delay fault on the network channel by estimating the non measured states. The second is based on the Analytical Redundancy Relations (ARR) allowing detecting and isolating the input and output system’ faults. Experimental results applied on a mobile robot system, show the performance and the validity of the proposed hybrid fault diagnosis approach.A second contribution on the fault diagnosis of Networked Control Systems are developed and applied to a manipulator 6 DOF robot. It consists to detect and isolate system faults by using the Analytical Redundancy Relations approach on a robot model based real-time simulator connected to the system through an industrial network
Evrat, Christophe. "Étude et réalisation d'un système de vision adapté à l'industrie du bois : Application à la classification automatique de frises en chêne par couplage avec un capteur micro-ondes." Nancy 1, 1989. http://www.theses.fr/1989NAN10016.
Zhang, Mei. "Diagnostic de panne et analyse des causes profondes du système dynamique inversible." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30260/document.
Many of the vital services of everyday life depend on highly complex and interconnected engineering systems; these systems consist of large number of interconnected sensors, actuators and system components. The study of interconnected systems plays a significant role in the study of reliability theory of dynamic systems, as it allows one to investigate the properties of an interconnected system by analyzing its less complicated subcomponents. Fault diagnosis is crucial in achieving safe and reliable operations of interconnected control systems. In all situations, the global system and/or each subsystem can be analyzed at different levels in investigating the reliability of the overall system; where different levels mean from system level down to the subcomponent level. In some cases, it is important to determine the abnormal information of the internal variables of local subsystem, in order to isolate the causes that contribute to the anomalous operation of the overall process. For example, if a certain fault appears in an actuator, the origin of that malfunction can have different causes: zero deviation, leakage, clogging etc. These origins can be represented as root cause of an actuator fault. This thesis concerns with the challenges of applying system inverse theory and model based FDD techniques to handle the joint problem of fault diagnosis & root cause analysis (FD & RCA) locally and performance monitoring globally. By considering actuator as individual dynamic subsystem connected with process dynamic subsystem in cascade, we propose an interconnected nonlinear system structure. We then investigate the problem of left invertibility, fault observability and fault diagnosability of the interconnected system, forming a novel model based multilevel FD & RCA algorithm. This diagnostic algorithm enables individual component to monitor internal dynamics locally to improve plant efficiency and diagnose potential fault resources to locate malfunction when operation performance of global system degrades. Hence, a means of acombination of local intelligence with a more advanceddiagnostic capability (combining fault monitoring anddiagnosis at both local and global levels) to performFDDfunctions on different levels of the plantis provided. As a result, improved fault localization and better predictive maintenance aids can be expected. The new system structure, together with the fault diagnosis algorithm, is the first to emphasize the importance of fault RCA of field devices, as well as the influences of local internal dynamics on the global dynamics. The developed model based multi-level FD & RCA algorithm is then a first effort to combine the strength of the system level model based fault diagnosis with the component level model based fault diagnosis. The contributions of this thesis include the following: Firstly, we propose a left invertible interconnected nonlinear system structure which guarantees that fault occurred in field device subsystem will affect the measured output of the global system uniquely and distinguishably. A necessary and sufficient condition is developed to ensure invertibility of the interconnected system which requires invertibility of individual subsystems. Second, a two level interconnected observer is developed which consists of two state estimators, aims at providing accurately estimates of states of each subsystem, as well as the unknown interconnection. In addition, it will also provide initial condition for the input reconstructor and local fault filter once FD & RCA procedure is triggered by any fault. Two underlyingissues are worth to be highlighted: for one hand, the measurement used in the estimator of the former subsystem is assumed not accessible; the solution is to replace it by the estimate provided by the estimator of the latter subsystem. In fact, this unknown output is the unknown interconnection of the interconnected system, and also the input of the latter subsystem
Fayolle, Jean. "Validation de données et diagnostic des procédés industriels." Nancy 1, 1987. http://www.theses.fr/1987NAN10171.
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.
The 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
Adam, Medina Manuel. "Diagnostic de défauts des systèmes à représentation multi-modèle linéaire invariant dans le temps." Nancy 1, 2004. http://www.theses.fr/2004NAN10198.
The introduction sets the framework of the research task presented: fault diagnosis on nonlinear systems whose approximate model is obtained by interpolation of linear models: these models being able to be regarded as resulting from a linearization around operating points. The first chapter presents elements of bibliography in the context of systems described by multiple models. The second chapter introduces the contribution of work when an exact decoupling of the faults influence makes it possible to break up the treatment of monitoring into two levels: active operating mode estimation and detection-estimation of the additive faults. The third chapter describes the case where, exact decoupling not being possible anymore due to, in particular, the limited uncertainties introduced into the models, it is necessary to consider a compromise leading to the search of an optimal solution. These final chapters end with an academic example which illustrates the performances of the developed method. The conclusion sums up the elements of the document and introduces some prospects
Aktouf, Chouki, and Guy Mazaré. "Test fonctionnel et reconfiguration d'architectures massivement parallèles à passage de messages." Grenoble INPG, 1995. http://www.theses.fr/1995INPG0001.
Mandel, Denis. "Diagnostic à base de redondance analytique : application à un réseau urbain de distribution d'eau potable." Vandoeuvre-les-Nancy, INPL, 1998. http://www.theses.fr/1998INPL127N.
Ribas, Santos Eduardo. "Contribution au diagnostic qualitatif des procédés en intelligence artificielle." Vandoeuvre-les-Nancy, INPL, 1996. http://docnum.univ-lorraine.fr/public/INPL_T_1996_RIBAS_SANTOS_E.pdf.
Compaore, Wendpuire Ousmane. "Aide à la décision pour le diagnostic des défauts pour une maintenance proactive dans un générateur photovoltaïque." Electronic Thesis or Diss., Normandie, 2023. http://www.theses.fr/2023NORMR095.
The loss of power of a photovoltaic generator (PVG) is undoubtedly due to the appearance of a certain number of anomalies linked to manufacturing, production or the environment and causing failures in its proper functioning. From a realistic model, quite close to real operation and able to take into account the avalanche effect of a PN junction transmitted to the entire PVG, we have sufficiently shown the loss of performance of a PV generator and the need to have a diagnostic method for maintenance assistance in order not to suffer the effects of faults.Two diagnostic methods were applied to this PVG, one relating to the detection and localization of sensor faults, and the other to the detection and localization of system faults. The particular choice of these two diagnostic techniques, which do not target the same types of faults, lies in the complex nature of the model of the industrial process subjected to study. The performances obtained with the analytical redundancy relations (ARR), method based on the principle of parity space applied to the maximum operating point are very relevant. Using the artificial intelligence (AI), method based on the principle of artificial neural networks (ANN), we experimented with two classification methods for the detection and diagnosis of system faults. If detectability is proven with our different configurations without the possibility of locating the origin and the cause in the first part of the classification, we arrive thanks to a bundle of clues to locate the origin or the cause thanks to the classification for the diagnostic.The production of two real-time acquisition prototypes is based on the principle of the Industrial Internet of Things (IIoT). The first only allows the acquisition and saving of data on an SD card. The second, and more advanced prototype, allows real-time transmission via WiFi to a web server and aims to create a real-time monitoring platform in the long term. Both prototypes produce data that is used to power both diagnostic methods. The results obtained with real data are compatible with those obtained in the simulation phase. The conclusions of this diagnosis will enable greater efficiency in proactive maintenance operations
Kaci, Naouel. "Analyse structurelle et diagnostic robuste des actionneurs électromécaniques : approche Bond Graph." Thesis, Lille 1, 2020. http://www.theses.fr/2020LIL1I067.
The orientation of the aviation industry towards cleaner technologies has led to the gradual replacement of conventional hydraulic actuator networks by Electromechanical actuators (EMA). The operating safety required in the aeronautical domain requires earlier fault detection and isolation to ensure the reliability and availability of the actuator. One of the critical identified failure is a jamming which must then be monitored based on the existing instrumentation architecture. The resolution of this problem which is the main objective of the PhD. thesis, was carried out in three stages using a Bond Graph theory (BG) as an integrated and unified approach. The first step concerns the structural monitorability (ability to detect and isolate faults) analysis based on deterministic Bond Graph (BG) models obtained from the EMA. Based on the structural monitorability conditions results, a sensor placement was proposed by the synthesis of an observer to improve the monitoring performances of the subsystems (mainly to monitor the fault required by the manufacturer: jamming). The scientific interest of such approach lies in the fact that it is independent of the numerical values of the parameters at this level by exploiting the structural and causal properties of the BG. A second step consists in the analytical validation of the obtained structural properties. For this task, the implementation of analytical redundancy relations, robust to parametric uncertainties, deduced from the extended BG model (called BG-LFT), have been proposed. And finally, an industrial validation by cosimulation with the Amesim© software was carried out in the third part
Bousghiri, Souad. "Diagnostic de fonctionnement des procédés continus par réconciliation d'état généralisé : application à la détection de pannes de capteurs et d'actionneurs." Nancy 1, 1994. http://www.theses.fr/1994NAN10396.
Nguyen, Thi Thanh Quynh. "Diagnostic distribué et commande tolérante aux défauts pour les systèmes multi-agents." Thesis, Reims, 2020. http://www.theses.fr/2020REIMS006.
A multi-agent system (MAS) can be defined by a group of agents that communicate with each other. Over the past decade, MAS have proven to be an effective and economical solution to many complex engineering problems that are difficult or even impossible to solve by a single agent.Despite the abundance of results in the literature on cooperative control of SAM, there are still areas for improvement, in particular in terms of reliability and operational performance of cooperative control in the event of a failure. This thesis aims to contribute to the resolution of the problems of distributed fault diagnosis and FTC for non-homogeneous / heterogeneous MAS with switched topologies. First, an approach based on a distributed fault detection (FD) observer for a network of non-homogeneous agents with switching topologies is proposed. We started with the formalization of a virtual model corresponding to each agent. This model takes into account all the local information available to the agent, namely the virtual model, as well as the topology switching function. This representation is presented in the form of a switched continuous impulsive system. Next, we present an IMT-based approach to design a distributed FD filter. In this proposed approach, we use H_ / Hinf indices to guarantee the sensitivity of the residue to defects as well as its robustness to disturbance. We also use several Lyapunov functions which satisfy the slow switching constraint to ensure the convergence of the synthesized observers.Subsequently, our study focuses on distributed fault estimation (FE) for a network of non-homogeneous agents with actuator faults and switching topologies. In this work, we continue to use the switched virtual model resulting from our work on FD to represent the model of each agent. We propose a new method of decomposition which makes it possible to decompose the state of the agent and its neighbors in two sub-states, one is affected by the actuator faults and the other is not affected by the faults. A distributed observer for each agent is also proposed to estimate the state subsets. Finally, default estimates are obtained by simultaneously using state estimation and a robust exact differentiator. It should be noted that this proposed approach is distributed both in design and implementation. Indeed, it does not need information from all the systems and it also allows each agent to estimate its faults and those of its neighbors. As a result, we can reduce computation and communication times when implemented in practical applications.Finally, the development of FE and FTC for a network of heterogeneous agents subject to actuator faults and an exit consensus is discussed. The objective is to improve reliability and performance by FTC during cooperative operation of heterogeneous MAS with the presence of faults. This approach is based on internal reference models and an observer for estimating faults. The agents rely on the information provided by the FE modules and do not require any prior knowledge of the fault. A decentralized FE based on the observer is synthesized to estimate the states and faults of the actuator. The design of the observers is given after state decompositions using transformation matrices. Next, a fault-tolerant consensus controller is proposed. It uses the estimated state and the estimated faults resulting from the defect estimation observer. The agreement between the agents is obtained by solving the problem of consensus of internal references
Giraud, Denis. "Diagnostic des systèmes industriels complexes par agrégation de méthodes : application à une station d'épuration." Nancy 1, 1998. http://www.theses.fr/1998NAN10002.