2022 |
Dadi, Leila; Ethabet, Haifa; Aoun, Mohamed Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Actuator fault, Actuators, Bounded disturbances, Cooperativity, Discrete time, Fault detection, Faults detection, Interval observers, Linear matrix inequalities, Linear systems, Set-membership, Stability condition, Switched linear system, Switched system @conference{Dadi2022190b,This work deals with Fault Detection (FD) for a class of discrete-time switched linear systems with actuator faults subject to bounded disturbances. First, based on cooperativity and stability conditions and under the assumption that disturbances and measurement noise are unknown but bounded, upper and lower bounds of the state are calculated using an interval observer. The design conditions of the observer are expressed in terms of Linear Matrix Inequalities (LMIs). Second, a fault detection decision is developed to indicate the presence of faults using interval analysis. Simulation results are provided to illustrate the performance of the proposed fault detection approach. © 2022 IEEE. |
Benjemaa, R.; Elhsoumi, A.; Abdelkrim, M. N. Fault diagnosis for neutral time delay LPV Descriptor systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781728189390, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Adaptive polytopic observer; Descriptor systems; Fault estimation; Faults detection; Faults diagnosis; Linear parameter varying; Linear parameter varying neutral time delay system; Neutral time-delay system; Polytopic observers; Time-delays, Delay control systems; Failure analysis; Time delay; Timing circuits, Fault detection @conference{Benjemaa2022,This paper presents the problem of fault diagnosis method based on a descriptor approach for Linear Parameter Varying (LPV) systems with neutral time delay. This proposed method is based on an Adaptive Polytopic Observer (APO). This observer is synthesized to achieve the fault detection and estimation. Simulation results are presented to prove the effectiveness of the proposed observer. © 2022 IEEE. |
Lamouchi, Rihab; Amairi, Messaoud; Raissi, Tarek; Aoun, Mohamed Robust Fault Detection based on Zonotopic Observers for Linear Parameter Varying Systems Conférence 2022, (Cited by: 1). Résumé | Liens | BibTeX | Étiquettes: Discrete time, Fault detection, Faults detection, Linear parameter varying systems, Linear systems, Measurement Noise, Numerical methods, Performance, Robust fault detection, Sensors faults, Uncertainty, Unknown but bounded, Zonotopes @conference{Lamouchi2022773b,In this paper, zonotopic fault detection methodology is proposed for a class of discrete-Time Linear Parameter Varying (LPV) systems with sensor faults. The disturbances and measurement noise are assumed to be unknown but bounded by zonotope. First, a fault detection observer is designed based on L? performance to attenuate the effects of the uncertainties and to improve the accuracy of the proposed residual framers. Then, the fault sensitivity is taken into account by measuring H-performance and zonotopic residual evaluation is presented. Finally, the effectiveness of the proposed method is demonstrated by a numerical example. © 2022 IEEE. |
Mizouri, H.; Lamouchi, R.; Amairi, M. Functional Interval-Observer-Based Fault Detection for Continuous-time Multivariable Linear Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 3). Résumé | Liens | BibTeX | Étiquettes: Condition; Continous time; Faults detection; Functional interval; Functional interval observer; Interval observers; Multi-variables system; Multivariable linear systems; Observer-based; Observers designs, Continuous time systems; Linear systems; Multivariable systems; Numerical methods; Signal analysis, Fault detection @conference{Mizouri2022177,This paper deals with the problem of the functional interval observer design for continuous-time multivariable linear system applied to fault detection purpose. First, a set of existance conditions is deduced as well as a simple process to built the Luenberger-like interval observer. Then, by utilizing the interval estimation of residual signals a FD procedure is developed. Finally, the validity and the effectiveness of the suggested method is verified by a numerical example. © 2022 IEEE. |
Dadi, Leila; Ethabet, Haifa; Aoun, Mohamed Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Actuator fault, Actuators, Bounded disturbances, Cooperativity, Discrete time, Fault detection, Faults detection, Interval observers, Linear matrix inequalities, Linear systems, Set-membership, Stability condition, Switched linear system, Switched system @conference{Dadi2022190,This work deals with Fault Detection (FD) for a class of discrete-time switched linear systems with actuator faults subject to bounded disturbances. First, based on cooperativity and stability conditions and under the assumption that disturbances and measurement noise are unknown but bounded, upper and lower bounds of the state are calculated using an interval observer. The design conditions of the observer are expressed in terms of Linear Matrix Inequalities (LMIs). Second, a fault detection decision is developed to indicate the presence of faults using interval analysis. Simulation results are provided to illustrate the performance of the proposed fault detection approach. © 2022 IEEE. |
Lamouchi, Rihab; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed Interval Observers Fault Detection for Linear Parameter Varying Systems with H- Fault Sensitivity Conférence 2022, (Cited by: 1). Résumé | Liens | BibTeX | Étiquettes: Detection methods, Fault detection, Fault sensitivity, Faults detection, Finite difference method, H- fault sensitivity, Interval observers, Linear parameter varying systems, Linear systems, L∞ performance, Sensor fault detection, Sensors faults, ∞performance @conference{Lamouchi2022178b,A fault detection (FD) method for a class of discrete-time Linear Parameter Varying (LPV) systems with sensor faults and measurement noise is proposed in this paper. Then, an interval FD observer is studied using Linfty performance to minimise the uncertainties effects and to improve the estimation accuracy. Furthermore, mathcalH- performance is considered in order to calculate the sensitivity of the residual to sensor faults and a FD decision is set to indicate their presence. The validity of the proposed methodology is demonstrated using a numerical example. © 2022 IEEE. |
2021 |
Chouiref, H.; Boussaid, B.; Abdelkrim, M. N.; Puig, V.; Aubrun, C. Integrated FDI/FTC approach for wind turbines using a LPV interval predictor subspace approach and virtual sensors/actuators Article de journal Dans: Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, vol. 235, no. 6, p. 1527-1543, 2021, ISSN: 09576509, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Active fault tolerant control; Fault detection and accommodations; Fault detection and isolation; Fault isolation; Fault scenarios; Linear parameter varying; Subspace approach; Virtual actuators, Benchmarking; Fault tolerance; Fault tolerant computer systems; Faulting; Wind turbines, Fault detection @article{Chouiref20211527,In order to keep wind turbines connected and in operation at all times despite the occurrence of some faults, advanced fault detection and accommodation schemes are required. To achieve this goal, this paper proposes to use the Linear Parameter Varying approach to design an Active Fault Tolerant Control for wind turbines. This Active Fault Tolerant Control is integrated with a Fault Detection and Isolation approach. Fault detection is based on a Linear Parameter Varying interval predictor approach while fault isolation is based on analysing the residual fault signatures. To include fault-tolerance in the control system (already available in the considered wind turbine case study based on the well known SAFEPROCESS benchmark), the information of the Fault Detection and Isolation approach block is exploited and it is used in the implementation of a virtual actuator and sensor scheme. The proposed Active Fault Tolerant Control is evaluated using fault scenarios which are proposed in the wind turbine benchmark to assess its performance. Results show the effectiveness of the proposed Active Fault Tolerant Control approach in faulty situation. © IMechE 2021. |
2020 |
Ethabet, Haifa; Raissi, Tarek; Amairi, Messaoud; Aoun, Mohamed Fault Detection and Isolation for Continuous-Time Switched Linear Systems: A Set Membership Approach Conférence 2020, (Cited by: 1). Résumé | Liens | BibTeX | Étiquettes: Average dwell time, Continuous time systems, Fault detection, Fault detection and isolation, Linear matrix inequalities, Linear systems, Measurement Noise, Numerical methods, Set membership approach, Stability condition, Switched linear system, Unknown but bounded, Unknown input observer @conference{Ethabet2020279b,In this paper, the problem of Fault Detection and Isolation (FDI) is investigated for continuous-Time switched linear systems via a set-membership approach. Under the fulfillment of the relative degree property by all the subsystems, the proposed solution is based on the use of a bank of interval unknown input observers. Under the assumption that disturbances and measurement noise are unknown but bounded with a priori known bounds, cooperativity and stability conditions are given in terms of Linear Matrix Inequalities (LMIs) with the fulfillment of an Average Dwell Time (ADT) constraints. Then, upper and lower residuals are computed. A numerical example illustrating the validity of the method in fault detection and isolation is given. © 2020 IEEE. |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Diagnosis of time-delay fractional systems using observer-based methods Article de journal Dans: International Journal of Dynamical Systems and Differential Equations, vol. 10, no. 2, p. 128 – 148, 2020, (Cited by: 2). Résumé | Liens | BibTeX | Étiquettes: Convergence conditions, Diagnosis, Fault detection, Fault detection and isolation, Fault isolation, Fractional systems, Luenberger observers, Residual sensitivities, Structured residuals, Time delay, Timing circuits, Unknown input observer @article{Atitallah2020128b,In this paper, two model-based methods are considered for the diagnosis of time-delay fractional systems. Time-delay fractional Luenberger observer without unknown input and time-delay fractional unknown input observer are developed and used for fault detection and isolation. A single observer scheme is needed for fault detection and a bank of generalized (respectively dedicated) observers is required for fault isolation. A theoretical study investigating the convergence condition for each observer-based method in terms of matrix inequalities is presented. Residual sensitivities to faults and to disturbances are studied. Time-delay fractional unknown input observer parameters are computed to obtain structured residuals. This observer ensures unknown input decoupling from the state which results residual insensitive to unknown inputs. Two numerical examples to validate the efficiency of the proposed approaches are given. Copyright © 2020 Inderscience Enterprises Ltd. |
Atitallah, H.; Aribi, A.; Aoun, M. Diagnosis of time-delay fractional systems using observer-based methods Article de journal Dans: International Journal of Dynamical Systems and Differential Equations, vol. 10, no. 2, p. 128-148, 2020, ISSN: 17523583, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Convergence conditions; Fault detection and isolation; Fault isolation; Fractional systems; Luenberger observers; Residual sensitivities; Structured residuals; Unknown input observer, Diagnosis; Time delay; Timing circuits, Fault detection @article{Atitallah2020128,In this paper, two model-based methods are considered for the diagnosis of time-delay fractional systems. Time-delay fractional Luenberger observer without unknown input and time-delay fractional unknown input observer are developed and used for fault detection and isolation. A single observer scheme is needed for fault detection and a bank of generalized (respectively dedicated) observers is required for fault isolation. A theoretical study investigating the convergence condition for each observer-based method in terms of matrix inequalities is presented. Residual sensitivities to faults and to disturbances are studied. Time-delay fractional unknown input observer parameters are computed to obtain structured residuals. This observer ensures unknown input decoupling from the state which results residual insensitive to unknown inputs. Two numerical examples to validate the efficiency of the proposed approaches are given. Copyright © 2020 Inderscience Enterprises Ltd. |
Aboub, A.; Harabi, R. E.; Abdelkrim, M. N. Causal ordering Graph based observers for generating redundant relations Conférence Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 9781728110806, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Causal ordering graph; Fault detection schemes; Generic modeling; Graphical representations; Hydraulic system; Physical aspects; Qualitative and quantitative reasonings; Structural aspects, Energy transfer; Graphic methods; Hydraulic equipment, Fault detection @conference{Aboub20201080,This paper deals with a new causal graph-based fault detection scheme. The Causal Ordering Graph (COG) is herein involved to rise above difficulties of modeling dynamic systems due to both qualitative and quantitative reasonings. For the fault detection purpose, the generic model in natural (or integral) causality is apt to design the COG observers in Luenberger forms. Compared with classical observers-based fault detection, the developed scheme allows to get graphical representation taking in to account the physical aspects (the transit of information and the energy transfer) related to the system mechanism. Owing to energetic and structural aspects, the COG observer gain is determined via causal manipulations (causal loops, causal paths.. etc). The relevance of the suggested framework is proved through the simulation results on the hydraulic system with two tanks. © 2020 IEEE. |
2019 |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Fault estimation using adaptive observer-based technique for time delay fractional-order systems Conférence 2019, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Adaptive observer, Continuous frequency, Convergence criterion, Detection and estimation, Fault detection, Fault estimation, Fractional systems, Fractional-order systems, Linear matrix inequalities, Luenberger observers, Lyapunov functions, Numerical methods, Time delay, Timing circuits @conference{Atitallah2019399b,This paper proposes a technique to detect and estimate faults for fractional-order systems with time delay. Two observers are used in this method. Indeed, a time-delay fractional Luenberger observer is generated to detect fault. An adaptive fractional order with time delay observer is then constructed to estimate the fault by providing an on-line estimation algorithm. The convergence criteria of this observer is expressed via linear matrix inequalities (LMIs) by the use of a specific Lyapunov function considering the continuous frequency disturbed model. The validity of the fault detection and estimation technique is shown by a numerical example. © 2019 IEEE. |
Ethabet, Haifa; Raïssi, Tarek; Amairi, Messaoud; Aoun, Mohamed Set-Membership Fault Detection for Continuous-time Switched Linear Systems Conférence 2019, (Cited by: 7). Résumé | Liens | BibTeX | Étiquettes: Bounded disturbances, Continuous time systems, Continuous-time, Fault detection, Linear matrix inequalities, Linear systems, Set membership, Stability criteria, Stability properties, Switched linear system, Switched system, Unknown but bounded, Upper and lower bounds @conference{Ethabet2019406b,The problem of Fault Detection (FD) for continuous-time switched linear systems subject to bounded disturbances is investigated in this paper. Based on cooperativity and stability properties, and fulfillment of an Average Dwell Time (ADT) constraint, guaranteed upper and lower bounds of the state are calculated using an interval observer. Under the assumption that disturbances and measurement noise are unknown but bounded with a priori known bounds, stability criteria is expressed in terms of Linear Matrix Inequalities (LMIs). Then, a fault detection methodology is developed to indicate the presence of faults. Finally, we demonstrate the proposed fault detection approach via an illustrative example. © 2019 IEEE. |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Fault estimation using adaptive observer-based technique for time delay fractional-order systems Conférence 2019, (Cited by: 0). Résumé | Liens | BibTeX | Étiquettes: Adaptive observer, Continuous frequency, Convergence criterion, Detection and estimation, Fault detection, Fault estimation, Fractional systems, Fractional-order systems, Linear matrix inequalities, Luenberger observers, Lyapunov functions, Numerical methods, Time delay, Timing circuits @conference{Atitallah2019399,This paper proposes a technique to detect and estimate faults for fractional-order systems with time delay. Two observers are used in this method. Indeed, a time-delay fractional Luenberger observer is generated to detect fault. An adaptive fractional order with time delay observer is then constructed to estimate the fault by providing an on-line estimation algorithm. The convergence criteria of this observer is expressed via linear matrix inequalities (LMIs) by the use of a specific Lyapunov function considering the continuous frequency disturbed model. The validity of the fault detection and estimation technique is shown by a numerical example. © 2019 IEEE. |
2018 |
Houiji, Marwa; Hamdaoui, Rim; Aoun, Mohamed 2018, (Cited by: 1). Résumé | Liens | BibTeX | Étiquettes: Actuator and sensor faults, Actuators, Adaptive threshold adjustments, Adaptive thresholds, ARThSK, Failure analysis, Fault accommodation, Fault detection, Linear stochastic system, Robust fault detection, Robust fault diagnosis, Stochastic control systems, Stochastic systems @conference{Houiji2018810b,This paper presents the problem of robust fault diagnosis and accommodation for a class of linear stochastic systems where simultaneous actuator and sensor faults may occur at a given time. Firstly, based on Augmented Robust Three stage Kalman filters (ARThSKF) we obtained both the fault estimation and the residual signal. Then, residual evaluation is achieved by making use of an adaptive threshold adjustment algorithm based on the grey theory. Obtained results show that the false-alarm rates and the missing alarm rates are minimized by the developed method; also this approach detects small or incipient faults more effectively than the classical robust fault detection algorithms with fixed thresholds. Finally, an additive control input is introduced for cancelling out the fault’s effect on the system. We evaluate our proposal through simulation and we demonstrate its feasibility. © 2018 IEEE. |
Najeh, H.; Singh, M. P.; Chabir, K.; Ploix, S.; Abdelkrim, M. N. Diagnosis of sensor grids in a building context: Application to an office setting Article de journal Dans: Journal of Building Engineering, vol. 17, p. 75-83, 2018, ISSN: 23527102, (cited By 9). Résumé | Liens | BibTeX | Étiquettes: Application examples; Based on detections; Building systems; Diagnosis algorithms; Fault detection and diagnosis; Fault detection and isolation; Sensor grids; Test designs, Bridge approaches; Bridges; Failure analysis, Fault detection @article{Najeh201875,This paper aims at designing a diagnosis tool that shall be used to support experts for detecting and localizing faults in a sensor grid of a building system. It is a tool-aided diagnosis with mathematical models and reasoning tools that determines whether a sensor is faulty or not. It is based on detection tests and logical diagnosis analysis for the first principle. At the beginning, a succinct state of art is provided for existing fault detection and diagnosis (FDD) methods. Then, the diagnosis algorithm is proposed: it deals with a BRIDGE approach of FDD for a building system focusing on sensor grids. Sensor faults are diagnosed thanks to detection tests and diagnosis first principle. In addition, this approach provides the possible fault modes including multiple sensor faults. Finally, a series of tests are performed in order to validate the approach. An application example shows the efficiency of the proposed technique: an office setting at Grenoble Institute of Technology. © 2018 Elsevier Ltd |
Houiji, Marwa; Hamdaoui, Rim; Aoun, Mohamed 2018, (Cited by: 1). Résumé | Liens | BibTeX | Étiquettes: Actuator and sensor faults, Actuators, Adaptive threshold adjustments, Adaptive thresholds, ARThSK, Failure analysis, Fault accommodation, Fault detection, Linear stochastic system, Robust fault detection, Robust fault diagnosis, Stochastic control systems, Stochastic systems @conference{Houiji2018810,This paper presents the problem of robust fault diagnosis and accommodation for a class of linear stochastic systems where simultaneous actuator and sensor faults may occur at a given time. Firstly, based on Augmented Robust Three stage Kalman filters (ARThSKF) we obtained both the fault estimation and the residual signal. Then, residual evaluation is achieved by making use of an adaptive threshold adjustment algorithm based on the grey theory. Obtained results show that the false-alarm rates and the missing alarm rates are minimized by the developed method; also this approach detects small or incipient faults more effectively than the classical robust fault detection algorithms with fixed thresholds. Finally, an additive control input is introduced for cancelling out the fault’s effect on the system. We evaluate our proposal through simulation and we demonstrate its feasibility. © 2018 IEEE. |
2017 |
Smaili, R.; Harabi, R. El; Abdelkrim, M. N. Design of fault monitoring framework for multi-energy systems using Signed Directed Graph* Conférence vol. 50, no. 1, Elsevier B.V., 2017, ISSN: 24058963, (cited By 14). Résumé | Liens | BibTeX | Étiquettes: Causal relationships; Fault detection and isolation; Instrumentation diagrams; Mathematical equations; Multi-energy systems; Process Variables; Qualitative model; Signed directed graph, Diagnosis; Directed graphs; Graphic methods; Structural properties; Topology, Fault detection @conference{Smaili201715734,In this paper, a new causal graph-based fault detection and isolation framework is developed. The Signed Directed Graph (SDG), as a graphical model for capturing process topology and connectivity to show the causal relationships between process variables, has been widely used in modeling and fault diagnosis of multi-energies systems. An SDG is usually built based on mathematical equations of process or based on process knowledge as described by piping and instrumentation diagrams, this is a complex and experience-dependent task. This paper introduces a methodology to built the SDG directly from Bond Graph. For the fault detection and isolation purpose, the generic model is able to deduce systematically qualitative fault signatures matrix from the qualitative redundancy relations. Whenever an abnormality was not isolated, a principal component analysis and a back/forward propagation through paths on the SDG model are combined so as to ameliorate the fault isolability. To highlight the efficiency and the performance of the developed algorithm, the multi-energy process case study is provided. © 2017 |
Hajjej, B.; Boussaid, B.; Zouinkhi, A.; Abdelkrim, M. N. Implementation of an unknown input observer based on Cellular Neural Network Conférence Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 9781509066346, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Cellular neural networks; Embedded systems; Hardware; MATLAB; Optical sensors; Sensors; Wireless sensor networks, Fault detection, Faulty sensor; Hardware failures; Hardware implementations; Luenberger observers; Real time; Smart sensor design; Unknown input observer; Wireless sensor network applications @conference{Hajjej2017140,This paper deals with an improved approach of fault detection based on cellular neural network (CNN). This method is a simplified idea from the original CNN circuit in order to detect faults in real time by hardware implementation. This idea is very interesting for smart sensor design and implementation in embedded systems. In this work, a CNN is simulated as an observer in order to detect faulty sensors. This fault is due to different causes such as, electronic failure, hardware failure or a battery drain. The CNN observer is an analogical circuit which is applied in the system of temperature sensor used in wireless sensor network applications. Two different categories of observers(Luenberger observer and Unknown Input Observer) are given and compared in this work to show the importance of the method. The simulation results by Matlab/Simscape tools shows the effectiveness of the approach. © 2017 IEEE. |
Derbali, M.; Buhari, S. M.; Tsaramirsis, G.; Stojmenovic, M.; Jerbi, H.; Abdelkrim, M. N.; Al-Beirutty, M. H. Water Desalination Fault Detection Using Machine Learning Approaches: A Comparative Study Article de journal Dans: IEEE Access, vol. 5, p. 23266-23275, 2017, ISSN: 21693536, (cited By 17). Résumé | Liens | BibTeX | Étiquettes: Artificial intelligence; Data mining; Decision trees; Deep learning; Desalination; Education; Failure analysis; Feature extraction; Learning algorithms; Learning systems; Principal component analysis; Regression analysis; Trees (mathematics); Valves (mechanical); Water filtration, Class imbalance problems; Comparative studies; Independent variables; Machine learning approaches; Machine learning techniques; Regression techniques; Stepwise regression; Water desalination, Fault detection @article{Derbali201723266,The presence of faulty valves has been studied in the literature with various machine learning approaches. The impact of using fault data only to train the system could solve the class imbalance problem in the machine learning approach. The data sets used for fault detection contain many independent variables, where the salient ones were selected using stepwise regression and applied to various machine learning techniques. A significant test for the given regression technique was used to validate the outcome. Machine learning techniques, such as decision trees and deep learning, are applied to the given data and the results reveal that the decision tree was able to obtain more than 95% accuracy and performed better than other algorithms when considering the tradeoff between the processing time and accuracy. © 2013 IEEE. |
Bougatef, Z.; Abdelkrim, N.; Tellili, A.; Abdelkrim, M. N. Diagnosis of delayed discrete-Time singularly perturbed systems based on slow subsystem Conférence Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 9781509034079, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Automation; Delay control systems; Perturbation techniques; Process control; Time delay, Discrete-time singularly perturbed systems; Parity spaces; Sensor fault; Singular perturbation method; Singular perturbations; Slow subsystem, Fault detection @conference{Bougatef2017239,This work presents an approach for fault diagnosis of discrete time singularly perturbed systems (SPS) with time-delay, called parity space in order to generate fault detection residual. In fact, to decompose the full system into slow and fast subsystems, we based on singular perturbation method. Then, we can use the reduced residual generated basing on slow subsystem in order to estimate and isolate faults of the global delayed SPS. A numerical example is presented to demonstrate the efficiency of the proposed approach in the case of sensor faults with different values of singular perturbation parameter epsilon. © 2016 IEEE. |
Atitallah, M.; El Harabi, R.; Abdelkrim, M. N. A comparative study of energetic model-based fault detection using HBG and COG formalisms Article de journal Dans: International Transactions on Electrical Energy Systems, vol. 27, no. 9, 2017, ISSN: 20507038, (cited By 5). Résumé | Liens | BibTeX | Étiquettes: Bond graph; Causal ordering graph; Fault detection algorithm; Graphical observer; Residuals, DC motors; Graph theory; Hamiltonians, Fault detection @article{Atitallah2017,The problem of modeling and fault detection in an electromechanical system having a graphical representation is considered. For this system’s dynamics, motivated by a desire to provide a precise fault detection procedure using a unified energy-based framework, 2 energy-based graphical formalisms are presented and compared: the Hamiltonian Bond Graph and the Causal Ordering Graph. Firstly, easily calculated from the Hamiltonian Bond Graph representation covering the causal energetic paths, the energetic residual generators are systematically deduced by comparing the energy quantity in both normal and faulty situations. Secondly, the causal and structural properties of the Causal Ordering Graph tool can be used to design an observer devoted to fault detection so as to derive directly energy-based residual generators in terms of faults. To highlight the effectiveness and applicability of 2 proposed approaches, simulation results on DC motor are provided and discussed. The performances of these fault detection schemes are compared and discussed in detail with respect to existing methods. Copyright © 2017 John Wiley & Sons, Ltd. |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Diagnosis of time-delay fractional systems Conférence 2017, (Cited by: 3). Résumé | Liens | BibTeX | Étiquettes: Automation, Bilinear matrix inequality, Convergence conditions, Convergence of numerical methods, Delay control systems, Diagnosis, Fault detection, Fault indicators, Fractional systems, Fractional-order systems, Luenberger observers, Model based diagnosis, Numerical methods, Process control, residual, Time delay @conference{Atitallah2017284,In this paper, a model-based diagnosis method, called Luenberger diagnosis observer, recently developed for fractional order systems, is extended for time-delay fractional systems. A sufficient convergence condition of the fault indicator using Bilinear Matrix Inequalities is detailed. A numerical example illustrating the method’s validity in detecting faults is finally presented. © 2016 IEEE. |
Atitallah, Halima; Aribi, Asma; Aoun, Mohamed Diagnosis of time-delay fractional systems Conférence 2017, (Cited by: 3). Résumé | Liens | BibTeX | Étiquettes: Automation, Bilinear matrix inequality, Convergence conditions, Convergence of numerical methods, Delay control systems, Diagnosis, Fault detection, Fault indicators, Fractional systems, Fractional-order systems, Luenberger observers, Model based diagnosis, Numerical methods, Process control, residual, Time delay @conference{Atitallah2017284b,In this paper, a model-based diagnosis method, called Luenberger diagnosis observer, recently developed for fractional order systems, is extended for time-delay fractional systems. A sufficient convergence condition of the fault indicator using Bilinear Matrix Inequalities is detailed. A numerical example illustrating the method’s validity in detecting faults is finally presented. © 2016 IEEE. |
2016 |
Hajjej, B.; Boussaid, B.; Zouinkhi, A.; Abdelkrim, M. N. Fault detection design for temperature sensing unit of a wireless sensor node Conférence Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9780956715753, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Detection approach; Electrical circuit; Fault detection techniques; Luenberger observers; Matlab/Simulink software; Temperature sensing; Thermal equivalents; Wireless sensor node, Fault detection, MATLAB; Sensor nodes; Temperature sensors; Wireless sensor networks @conference{Hajjej2016,This paper deals with a hard ware fault detection occurred on a temperature sensing unit of a wireless sensor node. The temperature sensing unit is equivalent to a tmp36 device and the fault considered is equivalent to parameter change due to hard shock. It is used in many applications in wireless sensor network for detection temperature. The fault detection approaches are based on the model of this sensor which will be extracted from the electrical circuit and its thermal equivalent model. The Luenberger observer and the parity space fault detection techniques are applied on the system and simulated using Matlab/Simulink software. © 2015 University of Al Qayrawan, Tunisia. |
Houiji, Marwa; Hamdaoui, Rim; Aoun, Mohamed Fault detection performances analysis for stochastic systems based on adaptive threshold Conférence 2016, (Cited by: 2). Résumé | Liens | BibTeX | Étiquettes: Actuator and sensor faults, Adaptive thresholds, Binary hypothesis tests, Detection delays, Detection performance, Detection probabilities, Discrete linear systems, False alarm probability, Fault detection, Linear systems, Signal detection, Stochastic systems @conference{Houiji2016229b,This paper investigates the problem of fault detection for discrete linear systems subjected to unknown disturbances, actuator and sensor faults. A bank of Augmented Robust Three stage Kalman filters is adapted to estimate both the state and the fault as well as to generate the residuals. Besides, this paper presents the evaluation of the residuals with Bayes test of binary hypothesis test for fault detection to adaptive threshold compared with fixed threshold. This test allow the detection of low magnitude faults as fast as possible with a minimum risk of errors, the increase of detection probability and the reduction of false alarm probability. © 2016 IEEE. |
Elhsoumi, A.; Ali, S. B. H.; Harabi, R. El; Abdelkrim, M. N. Unknown input fault detection and isolation observer design for neutral systems Article de journal Dans: Asian Journal of Control, vol. 18, no. 5, p. 1825-1835, 2016, ISSN: 15618625, (cited By 19). Résumé | Liens | BibTeX | Étiquettes: Actuator fault detection; Decoupling properties; Diagnosis performance; External disturbances; Fault detection and isolation; Lyapunov stability theory; Multiple delays; Unknown input observer, Actuators; Asymptotic stability; Linear matrix inequalities; Robustness (control systems), Fault detection @article{Elhsoumi20161825,This paper deals with actuator fault diagnosis of neutral delayed systems with multiple time delays using an unknown input observer. The main purpose is to design an observer that guarantees the asymptotic stability of the estimate error dynamics and the actuator fault detection. The existence conditions for such an observer are established. The main problem studied in this paper aims at designing observer-based fault detection and isolation. The designed observer enhances the robust diagnosis performance, including rapidity and accuracy, and generates residuals that enjoy perfect decoupling properties among faults. Based on Lyapunov stability theory, the design of the observer is formulated in terms of linear matrix inequalities, and the diagnosis scheme is based on a bank of unknown input observers for residual generation that guarantees fault detection and isolation in the presence of external disturbances. A numerical example is presented to illustrate the efficiency of the proposed approach. © 2016 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd. |
Houiji, M.; Hamdaoui, R.; Aoun, M. Fault detection performances analysis for stochastic systems based on adaptive threshold Conférence Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9781509012916, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Actuator and sensor faults; Adaptive thresholds; Binary hypothesis tests; Detection delays; Detection performance; Detection probabilities; Discrete linear systems; False alarm probability, Fault detection, Linear systems; Signal detection; Stochastic systems @conference{Houiji2016229,This paper investigates the problem of fault detection for discrete linear systems subjected to unknown disturbances, actuator and sensor faults. A bank of Augmented Robust Three stage Kalman filters is adapted to estimate both the state and the fault as well as to generate the residuals. Besides, this paper presents the evaluation of the residuals with Bayes test of binary hypothesis test for fault detection to adaptive threshold compared with fixed threshold. This test allow the detection of low magnitude faults as fast as possible with a minimum risk of errors, the increase of detection probability and the reduction of false alarm probability. © 2016 IEEE. |
Chouiref, H.; Boussaid, B.; Abdelkrim, M. N.; Puig, V.; Aubrun, C. LPV model-based fault detection: Application to wind turbine benchmark Conférence Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9780956715753, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Benchmarking; Damping; Hydraulic motors; Natural frequencies; Wind turbines, Damping ratio; Detection approach; Failure events; Fault scenarios; Hydraulic pressure; Linear parameter varying systems; LPV models; Subspace identification, Fault detection @conference{Chouiref2016,In this paper, we present a fault detection approach of a linear parameter varying (LPV) system using residuals generator based on the use of the predictor based LPV subspace identification approach (LPV PBSID). To address this problem of fault detection in the pitch subsystem considered in the wind turbine benchmark introduced in IFAC SAFEPROCESS 2009, the failure events are caused by jumps in the damping ratio and natural frequency values of the model. The damping ratio is increased and the natural frequency is decreased with the hydraulic pressure variation. Satisfactory results have been obtained of the proposed approach using the proposed fault scenarios. © 2015 University of Al Qayrawan, Tunisia. |
2015 |
Chouiref, H.; Boussaid, B.; Abdelkrim, M. N.; Puig, V.; Abrun, C. Subspace identification based scheme for Fault Detection in drive train system Conférence Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479983186, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Benchmark system; Drive train; Generator speed; Nominal values; Residual generation; Scheduling variable; Subspace identification; Wind speed, Fault detection, Wind; Wind turbines @conference{Chouiref2015199,In order to improve reliability of wind turbines, it is important to detect faults as fast as possible. The fault introduced in this work is the dynamics change of the drive train due to the increased friction from its nominal value will be treated. For diagnosis purpose, a residual generation is used based on a comparison between the nominal generator speed and the observed one obtained by the use of the predictor based LPV subspace identification technique (LPV PBSID) applied at the benchmark system introduced in IFAC SAFEPROCESS 2009 which is modeled as an LPV model considering the wind speed as scheduling variable. © 2015 IEEE. |
Saihi, M.; Boussaid, B.; Zouinkhi, A.; Abdelkrim, N. Distributed fault detection based on HMM for wireless sensor networks Conférence Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479983186, (cited By 7). Résumé | Liens | BibTeX | Étiquettes: Density of probability; Detection accuracy; Detection performance; Distributed fault detections; HMM-based; System’s performance; Wireless senor network; Wireless sensor network (WSNs), Fault detection, Hidden Markov models; Markov processes; Sensor nodes; Signal detection; Wireless sensor networks @conference{Saihi2015189,In their practical applications, Wireless Sensor Networks (WSNs) can experience faults during running. Furthermore, faulty data collected in the base station might lead to a wrong judgement. Since the whole system’s performance require the accuracy of data, node fault detection is necessary. Motivated by the requirement of fault detection performance, we propose a distributed fault detection algorithm for wireless senor networks based on Hidden Markov Model (HMM). Firstly, a density of probability method is presented to obtain the possibility of translation of state for each node in the network. Then, a HMM is introduced to characterize the tendency of each node to be faulty. Finally, a distributed fault detection algorithm is proposed based on the HMM. Simulation results show that the proposed HMM-based fault detection achieves high detection accuracy. © 2015 IEEE. |
Hrizi, O.; Boussaid, B.; Zouinkhi, A.; Abdelkrim, M. Naceur Robust unknown input observer-based fast adaptive fault estimation: Application to mobile robot Ouvrage IGI Global, 2015, ISBN: 9781466672505; 146667248X; 9781466672499, (cited By 5). Résumé | Liens | BibTeX | Étiquettes: Adaptive estimation; Co-ordinate transformation; Electronic device; Fault diagnosis observers; Fault estimation; Original systems; Technological advances; Unknown input observer, Failure analysis; Linear matrix inequalities; Lyapunov functions; Robots, Fault detection @book{Hrizi2015427,This chapter studies the problem of fault estimation using a fast adaptive fault diagnosis observer. Note that the advance of observer-based fault diagnosis is outlined and the idea of fault class estimation is introduced and studied. A new form of the estimator bloc considered for this purpose is an Unknown Input Observer (UIO). This observer is designed for an unknown input and fault free system, which is obtained by coordinate transformations of original systems with unknown inputs (disturbance) and faults. Stability of the adaptive estimation is provided by a Lyapunov function ending with solving the Linear Matrix Inequalities (LMI). Due to technological advances in the field of electronic devices, the family of robots is of particular interest. To overcome the drawback of robots’ model responses when including a fault, a robust observer is adopted for a Pioneer robot to improve the fault estimation and thereafter to repair its trajectory. © 2015, IGI Global. |
Atitallah, M.; Harabi, R. E.; Abdelkrim, M. N. Fault detection and estimation based on full order unknown input Hamiltonian observers Conférence Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479917587, (cited By 6). Résumé | Liens | BibTeX | Étiquettes: Algebraic transformations; Detection and estimation; Hamiltonian observer; Port hamiltonians; Robust fault detection; Robust residuals; Theoretical development; Unknown input observer, Fault detection, Hamiltonians; Signal detection @conference{Atitallah2015,This paper deals with a novel diagnosis framework for robust fault detection and estimation purposes by combining an ordinary Unknown Input Observer (UIO) with the port-Hamiltonian formalism. Based on energy aspect, the full order Unknown Input Hamiltonian Observer (UIHO) design scheme guarantees robust residual generation through decoupling the disturbances effects from the fault ones. The fault estimation is, then, allowed by an algebraic transformation taking into account co-energy variables. Finally, simulation tests on ladder networks illustrate the effectiveness of the theoretical development. © 2015 IEEE. |
Yousfi, B.; Raïssi, T.; Amairi, M.; Aoun, M. Set-membership methodology for model-based systems prognosis Conférence vol. 28, no. 21, 2015, (Cited by: 3; All Open Access, Bronze Open Access). Résumé | Liens | BibTeX | Étiquettes: Fault detection, Interval estimation, Interval observers, Lower and upper bounds, Measurement Noise, Model-based systems, nocv1, Plant management, Set membership, Unknown input observer, Unknown inputs @conference{Yousfi2015302b,This paper addresses unknown input interval estimation and prognosis for a class of uncertain systems. Under the assumption that the measurement noise and the disturbances are bounded, lower and upper bounds for the unmeasured state and unknown inputs are computed. Then, damage state estimation is formulated as a set-inversion problem. The setmembership methodology is applied to an electromechanical oscillator to show the effectiveness of the proposed technique. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. |
2014 |
Houiji, Marwa; Hamdaoui, Rim; Aoun, Mohamed Detection time for deterministic and stochastic systems with unknown inputs Conférence 2014, (Cited by: 1). Résumé | Liens | BibTeX | Étiquettes: Detection and diagnosis, Deterministic systems, Fault detection, Linear systems, Optimal observers, Robust residuals, Stochastic linear systems, Stochastic systems, Theoretical development, Unknown disturbance, Unknown input observer @conference{Houiji2014b,This paper investigates the detection and diagnosis of actuator faults by using an Unknown Input Observer (UIO).The proposed UIO design guarantees robust residual generation through decoupling the disturbances effects from the faults ones. The discrimination between the faults and the effects of uncertain signals and perturbations on the residues minimizes the duration of fault detection for deterministic systems. Then these results were extended to the general case of stochastic linear systems by using an optimal observers for systems with unknown disturbances and noise. A simulation is done on an aeronautic model to illustrate the theoretical development. © 2014 IEEE. |
Smaili, R.; Harabi, R. El; Abdelkrim, M. N. Fault diagnosis based on graphical tools for multi-energy processes Conférence vol. 19, IFAC Secretariat, 2014, ISSN: 14746670, (cited By 4). Résumé | Liens | BibTeX | Étiquettes: Automation; Directed graphs; Failure analysis; Graph theory; Graphic methods; Principal component analysis, Bond graph; Graph colorings; NLPCA; Signed directed graph; Thermo-fluid systems, Fault detection @conference{Smaili20147073,To guarantee the safe operation of systems, it is necessary to use systematic techniques to detect and isolate faults for the purpose of diagnosis. The Fault Detection and Isolation (FDI) of nonlinear systems with coupling multiple energies became a difficult task. This why, we propose in this paper, the exploitation of the behavioral and structural properties of graphs (Bond Graph and Signed Directed Graph) combining with a Principal Component Analysis method (PCA). Therein, a coupled Bond Graph model is used for modeling methodology. A Signed Directed Graph (SDG) is then deduced. Fault detection is later carried out by graph coloring. The localization of the actual fault is performed based on a nonlinear PCA (NLPCA) and back/forward propagations on the SDG. The proposed approach is tested on the thermofluid case study and some simulations are provided. © IFAC. |
Houiji, M.; Hamdaoui, R.; Aoun, M. Detection time for deterministic and stochastic systems with unknown inputs Conférence Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479973002, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Detection and diagnosis; Deterministic systems; Optimal observers; Robust residuals; Stochastic linear systems; Theoretical development; Unknown disturbance; Unknown input observer, Fault detection, Linear systems; Stochastic systems @conference{Houiji2014,This paper investigates the detection and diagnosis of actuator faults by using an Unknown Input Observer (UIO).The proposed UIO design guarantees robust residual generation through decoupling the disturbances effects from the faults ones. The discrimination between the faults and the effects of uncertain signals and perturbations on the residues minimizes the duration of fault detection for deterministic systems. Then these results were extended to the general case of stochastic linear systems by using an optimal observers for systems with unknown disturbances and noise. A simulation is done on an aeronautic model to illustrate the theoretical development. © 2014 IEEE. |
Hrizi, O.; Boussaid, B.; Zouinkhi, A.; Abdelkrim, M. N. Reconfigurable control of mobile robot based on a robust estimator Conférence Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479959075, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Actuators; Automation; Feedback; Feedback control; Linear matrix inequalities; Lyapunov functions; Mobile robots; Robust control; State feedback, Adaptive detection; Adaptive estimation; Fault diagnosis observers; Process performance; Reconfigurable control; Robust estimators; Robust fault detection; Unknown input observer, Fault detection @conference{Hrizi2014423,This paper introduces a procedure for the design of reconfigurable linear quadratic (LQ) state-feedback control tolerant to actuator fault. In fact, this work is based on a fast adaptive fault diagnosis observer. We consider the Unknown Input Observer (UIO) which is subsequently used for a robust fault detection scheme and also as an adaptive detection scheme for an additive actuator fault. Stability of the adaptive estimation is provided by a Lyapunov function ending with solving the Linear Matrix Inequalities (LMI). Therefore, thanks to the loop correction based on this novel estimation design, the process performances will be improved. As an example of simulation, a linear model describing an unicycle robot is proposed to illustrate the theoretical results. © 2014 IEEE. |
Saoudi, G.; Harabi, R. El; Abdelkrim, M. N. Global FDI procedure based on interconnection of local graphical observers Conférence Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479959075, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Automation; DC motors; Graph theory, Bond graph; Bond graph model; Design procedure; Fault detection and isolation; Global FDI; Interconnection; Local Observer, Fault detection @conference{Saoudi2014417,This paper presents the design procedure of a global fault detection and isolation strategy for complex systems based on bond graph tool. The proposed method consists in establishing a word bond graph model and developing a local observer for each subsystem. The aim of the paper is to deal with the structural interconnection between these observers using structural and causal properties of the bond graph methodology. The results are validated on a DC motor driven by a filter using 20sim. © 2014 IEEE. |
Saihi, M.; Boussaid, B.; Zouinkhi, A.; Abdelkrim, M. N. WSN implementation of DFD algorithm on SOFREL S550/WAVENIS unit Conférence Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479959075, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Algorithms; Automation; Sensor nodes; Wireless sensor networks, Centralized approaches; Decentralized approach; Distributed fault detections; Emerging technologies; Environmental factors; Heartbeat information; Physical variables; Reliable detection, Fault detection @conference{Saihi2014219,Wireless Sensor Networks (WSN) can experience faults during deployment either due to its hardware malfunctioning or software failure or even harsh environmental factors. This results into presence of anomalies in their time-series collected data. So, these anomalies demand for reliable detection strategies to support in long term and/or in large scale WSN deployments. These data of physical variables are transmitted continuously to a repository for further processing of information as data stream. centralized fault detection based on centralized approach has become an emerging technology for building scalable and energy balanced applications for WSN. In our work, we try to implement the Distributed Fault Detection (DFD) algorithm in a central unit named SOFREL S550 which represent the base station or the sink node and detects the suspicious nodes by exchanging heartbeat messages in active manner. By analyzing the collected heartbeat information, the unit finally identifies failed nodes according to a pre-defined failure detection rule. © 2014 IEEE. |
Aribi, Asma; Farges, Christophe; Aoun, Mohamed; Melchior, Pierre; Najar, Slaheddine; Abdelkrim, Mohamed Naceur Fault detection based on fractional order models: Application to diagnosis of thermal systems Article de journal Dans: Communications in Nonlinear Science and Numerical Simulation, vol. 19, no. 10, p. 3679 – 3693, 2014, (Cited by: 28). Résumé | Liens | BibTeX | Étiquettes: Computer simulation, Diagnosis, Diagnosis methods, Fault detection, Fractional model, Fractional operators, Fractional order models, Numerical analysis, Reduced precision, Single input multi outputs, Thermal phenomena, Thermal systems @article{Aribi20143679b,The aim of this paper is to propose diagnosis methods based on fractional order models and to validate their efficiency to detect faults occurring in thermal systems. Indeed, it is first shown that fractional operator allows to derive in a straightforward way fractional models for thermal phenomena. In order to apply classical diagnosis methods, such models could be approximated by integer order models, but at the expense of much higher involved parameters and reduced precision. Thus, two diagnosis methods initially developed for integer order models are here extended to handle fractional order models. The first one is the generalized dynamic parity space method and the second one is the Luenberger diagnosis observer. Proposed methods are then applied to a single-input multi-output thermal testing bench and demonstrate the methods efficiency for detecting faults affecting thermal systems. © 2014 Elsevier B.V. |
Aribi, Asma; Farges, Christophe; Aoun, Mohamed; Melchior, Pierre; Najar, Slaheddine; Abdelkrim, Mohamed Naceur Fault detection based on fractional order models: Application to diagnosis of thermal systems Article de journal Dans: Communications in Nonlinear Science and Numerical Simulation, vol. 19, no. 10, p. 3679 – 3693, 2014, (Cited by: 28). Résumé | Liens | BibTeX | Étiquettes: Computer simulation, Diagnosis, Diagnosis methods, Fault detection, Fractional model, Fractional operators, Fractional order models, Numerical analysis, Reduced precision, Single input multi outputs, Thermal phenomena, Thermal systems @article{Aribi20143679,The aim of this paper is to propose diagnosis methods based on fractional order models and to validate their efficiency to detect faults occurring in thermal systems. Indeed, it is first shown that fractional operator allows to derive in a straightforward way fractional models for thermal phenomena. In order to apply classical diagnosis methods, such models could be approximated by integer order models, but at the expense of much higher involved parameters and reduced precision. Thus, two diagnosis methods initially developed for integer order models are here extended to handle fractional order models. The first one is the generalized dynamic parity space method and the second one is the Luenberger diagnosis observer. Proposed methods are then applied to a single-input multi-output thermal testing bench and demonstrate the methods efficiency for detecting faults affecting thermal systems. © 2014 Elsevier B.V. |
2011 |
Aoun, Mohamed; Aribi, Asma; Najar, Slaheddine; Abdelkrim, Mohamed Naceur 2011, (Cited by: 8). Résumé | Liens | BibTeX | Étiquettes: Detection methods, Fault detection, fault diagnosis, Fractional derivatives, Fractional systems, Numerical example, Parity spaces, Residual generator, residual sensitivity, Signal detection @conference{Aoun2011f,This paper shows the interest of extending the dynamic parity space fault detection method for fractional systems. Accordingly, a comparison between fractional and rational residual generators using the later method is presented. An analysis of fractional and rational residuals’ sensitivity shows the merits of the fractional residual generators. A numerical example illustrating the advantage of using fractional residual generators for fractional systems diagnosis is given. © 2011 IEEE. |
Hamdaoui, R.; Abdelkrim, M. N. Conditions on diagnosis and accommodation delays for actuator fault recoverability Conférence 2011, ISBN: 9781457704130, (cited By 5). Résumé | Liens | BibTeX | Étiquettes: Actuators; Inverse problems; Optimization; Signal detection, Fault detection, Fault detection and accommodations; Fault tolerant control; Performance index; PIM; Time optimization @conference{Hamdaoui2011,In this paper, conditions on the the fault detection and the fault accommodation delays are defined and developed in order to guarantee the actuator fault’s recoverability. The study is based on the classical Pseud-Inverse Method PIM, used as an active fault tolerant control. A performance index dealing with the variation between the nominal dynamic and the faulty one is defined and computed for different post-fault time intervals. The indicated criterion, compared to a fixed admissi-bility limit, allows the determination of optimal detection and accommodation instants for recoverable faults either with or without accommodation. The main contribution, in this work, is the definition of conditions on the detection and accommodation times, so that the fault is recoverable with guaranteeing a tradeoff between the closeness of the faulty output to the nominal one and the requested control to accommodate the fault. © 2011 IEEE. |
Harabi, R. El; Bouamama, B. O.; Gayed, M. K. Ben; Abdelkrim, M. N. Robust fault diagnosis of chemical system by using uncertain bond graph model Conférence 2011, ISBN: 9781457704130, (cited By 3). Résumé | Liens | BibTeX | Étiquettes: Chemical detection; Chemical reactors; Electric fault location; Graph theory; Linear transformations; Robustness (control systems); Signal detection; Uncertainty analysis, Fault detection @conference{ElHarabi2011,In this paper, robust Fault Detection and Isolation (FDI) design of nonlinear uncertain dynamic system in presence of chemical and thermodynamic phenomenon is addressed. The methodology using a Bond Graph (BG) representation in linear fractional transformation (LFT) form is shown to be a valuable tool for developing dynamic threshold generators and achieving robustness against model uncertainty in combination with sensitivity to faults. Experimental results are given to illustrate the design procedure and to demonstrate the performance using to detect kinetic and thermodynamic drift due to appearance of secondary reaction via a real continuous reactor with heat exchange. © 2011 IEEE. |
Belgacem, A.; Jerbi, H.; Abdkerim, M. N. Fault parametric detection using flatness property of systems Conférence 2011, ISBN: 9781457704130, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: DC motors; Estimation; Parametric devices; Signal detection, Detection and estimation; Flat moving horizon estimator; Flatness; Industrial processs; Moving horizon estimator; Optimisations; Serie’s DC motor; State Estimators, Fault detection @conference{Belgacem2011,This paper deals with the detection and estimation of fault parameter in nonlinear systems. Our main contribution in this work consists in the synthesis of a flat moving horizon estimator for a supervision industrial process. The effectiveness of the proposed method is shown through the supervise of a series DC motor. The obtained results are very satisfactory in terms of detection rapidity and precision relatively to the case where the classic state estimator is adopted. © 2011 IEEE. |
Hamdaoui, R.; Ponsart, J. C.; Theilliol, D. Actuator fault recovery study based on post-fault time analysis Conférence vol. 44, no. 1 PART 1, IFAC Secretariat, 2011, ISSN: 14746670, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Actuator fault; Fault accommodation; Fault detection and accommodations; Fault time; Fault tolerant control; Optimal detection; Performance indices; Recoverability, Actuators; Economic and social effects; Fault tolerant computer systems, Fault detection @conference{Hamdaoui201114820,Under Fault-Tolerant control (FTC) framework, the present work discusses the actuator fault recoverability in relation with the fault occurrence, the fault detection and the fault accommodation delays. A performance index dealing with the variation between the nominal dynamic and the faulty one is defined and computed for different post-fault time intervals. The indicated criterion, compared to a fixed admissibility limit, allows the determination of optimal detection and accommodation instants for recoverable faults either with or without accommodation. The main contribution, in this work, is the definition of conditions on the fault detection and accommodation times, so that the fault is recoverable with guaranteing a trade-off between the closeness of the faulty output to the nominal one and the requested control to accommodate the fault. © 2011 IFAC. |
2010 |
Chabir, K.; Sauter, D.; Abdelkrim, M. N.; Gayed, M. K. B. Robust fault diagnosis of networked control systems via Kalman filtering Article de journal Dans: International Journal of Automation and Control, vol. 4, no. 3, p. 343-356, 2010, ISSN: 17407516, (cited By 9). Résumé | Liens | BibTeX | Étiquettes: Communication delays; Delays; Detection performance; Fault detection problem; Kalman-filtering; Networked-induced delays; Residual; Robust fault diagnosis, Failure analysis; Kalman filters; Networked control systems; Uncertainty analysis, Fault detection @article{Chabir2010343,The fault detection problem of a class of linear networked control systems (NCS) with communication delays will be studied in this paper. The aim of the study is to generate residual signals which, in the fault free case, are supposed to be identically zero. In practice, this condition is not satisfactory due to various factors such as measurements noise, model uncertainties, and more specifically the NCS communication induced delays. The effect of unknown networked induced delays on conventional observed residue generator is also studied in this paper. It is shown that the detection performances may be deteriorated because of the sensitivity of the residuals to the delays. The proposed approach is based on robust residual generation based on Kalman filtering. © 2010 Inderscience Enterprises Ltd. |
2009 |
Chabir, K.; Sauter, D.; Keller, J. Y. Design of fault isolation filter under network induced delay Conférence 2009, ISBN: 9781424446025, (cited By 9). Résumé | Liens | BibTeX | Étiquettes: Communication delays; Directional properties; Fault detection problem; Fault isolation; Model uncertainties; Network-induced delays; Networked control systems; Residual signals, Control system analysis; Uncertainty analysis, Fault detection @conference{Chabir200925,The fault detection problem is studied in this paper for a class of linear Networked Control Systems (NCS) with communication delays. Aim is to generate residual signals which, in the fault free case, are supposed to be identically zero. In practice, this condition is not satisfied due to various factors such as measurements noises, model uncertainties, and in particular for NCS communication induced delays. The aim of this paper is to design a Fault Isolation Filter satisfying to directional properties and being robust against network induced delays as well. © 2009 IEEE. |
2006 |
Tellili, A.; Abdelkrim, M. N.; Benrejeb, M. On the fault diagnosis of uncertain singularly perturbed systems Article de journal Dans: Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, vol. 220, no. 6, p. 509-516, 2006, ISSN: 09596518, (cited By 5). Résumé | Liens | BibTeX | Étiquettes: Fault detection, Multimodelling structure; Parameter uncertainty; Parity space; Singularly perturbed systems; Slow subsystem, Perturbation techniques; Uncertain systems; Uncertainty analysis @article{Tellili2006509,This work aims at the fault diagnosis of two-timescale, singularly perturbed systems (SPSs) and SPSs with a multimodelling structure. The approach of model-based fault detection and isolation using the dynamic parity space to generate singular perturbation parameter free residuals was used. A comparative study of diagnosis of the SPS is carried out considering, in the first case, the SPS as an uncertain system with parameter uncertainties and using, in the second case, the slow subsystem for fault detection and isolation. The results are applied to a power system. © IMechE 2006. |
Publications
2022 |
Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). |
Fault diagnosis for neutral time delay LPV Descriptor systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781728189390, (cited By 2). |
Robust Fault Detection based on Zonotopic Observers for Linear Parameter Varying Systems Conférence 2022, (Cited by: 1). |
Functional Interval-Observer-Based Fault Detection for Continuous-time Multivariable Linear Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 3). |
Set-Membership Fault Detection for Discrete-time Switched Linear Systems Conférence 2022, (Cited by: 0). |
Interval Observers Fault Detection for Linear Parameter Varying Systems with H- Fault Sensitivity Conférence 2022, (Cited by: 1). |
2021 |
Integrated FDI/FTC approach for wind turbines using a LPV interval predictor subspace approach and virtual sensors/actuators Article de journal Dans: Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, vol. 235, no. 6, p. 1527-1543, 2021, ISSN: 09576509, (cited By 2). |
2020 |
Fault Detection and Isolation for Continuous-Time Switched Linear Systems: A Set Membership Approach Conférence 2020, (Cited by: 1). |
Diagnosis of time-delay fractional systems using observer-based methods Article de journal Dans: International Journal of Dynamical Systems and Differential Equations, vol. 10, no. 2, p. 128 – 148, 2020, (Cited by: 2). |
Diagnosis of time-delay fractional systems using observer-based methods Article de journal Dans: International Journal of Dynamical Systems and Differential Equations, vol. 10, no. 2, p. 128-148, 2020, ISSN: 17523583, (cited By 2). |
Causal ordering Graph based observers for generating redundant relations Conférence Institute of Electrical and Electronics Engineers Inc., 2020, ISBN: 9781728110806, (cited By 1). |
2019 |
Fault estimation using adaptive observer-based technique for time delay fractional-order systems Conférence 2019, (Cited by: 0). |
Set-Membership Fault Detection for Continuous-time Switched Linear Systems Conférence 2019, (Cited by: 7). |
Fault estimation using adaptive observer-based technique for time delay fractional-order systems Conférence 2019, (Cited by: 0). |
2018 |
2018, (Cited by: 1). |
Diagnosis of sensor grids in a building context: Application to an office setting Article de journal Dans: Journal of Building Engineering, vol. 17, p. 75-83, 2018, ISSN: 23527102, (cited By 9). |
2018, (Cited by: 1). |
2017 |
Design of fault monitoring framework for multi-energy systems using Signed Directed Graph* Conférence vol. 50, no. 1, Elsevier B.V., 2017, ISSN: 24058963, (cited By 14). |
Implementation of an unknown input observer based on Cellular Neural Network Conférence Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 9781509066346, (cited By 0). |
Water Desalination Fault Detection Using Machine Learning Approaches: A Comparative Study Article de journal Dans: IEEE Access, vol. 5, p. 23266-23275, 2017, ISSN: 21693536, (cited By 17). |
Diagnosis of delayed discrete-Time singularly perturbed systems based on slow subsystem Conférence Institute of Electrical and Electronics Engineers Inc., 2017, ISBN: 9781509034079, (cited By 2). |
A comparative study of energetic model-based fault detection using HBG and COG formalisms Article de journal Dans: International Transactions on Electrical Energy Systems, vol. 27, no. 9, 2017, ISSN: 20507038, (cited By 5). |
Diagnosis of time-delay fractional systems Conférence 2017, (Cited by: 3). |
Diagnosis of time-delay fractional systems Conférence 2017, (Cited by: 3). |
2016 |
Fault detection design for temperature sensing unit of a wireless sensor node Conférence Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9780956715753, (cited By 2). |
Fault detection performances analysis for stochastic systems based on adaptive threshold Conférence 2016, (Cited by: 2). |
Unknown input fault detection and isolation observer design for neutral systems Article de journal Dans: Asian Journal of Control, vol. 18, no. 5, p. 1825-1835, 2016, ISSN: 15618625, (cited By 19). |
Fault detection performances analysis for stochastic systems based on adaptive threshold Conférence Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9781509012916, (cited By 2). |
LPV model-based fault detection: Application to wind turbine benchmark Conférence Institute of Electrical and Electronics Engineers Inc., 2016, ISBN: 9780956715753, (cited By 2). |
2015 |
Subspace identification based scheme for Fault Detection in drive train system Conférence Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479983186, (cited By 0). |
Distributed fault detection based on HMM for wireless sensor networks Conférence Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479983186, (cited By 7). |
Robust unknown input observer-based fast adaptive fault estimation: Application to mobile robot Ouvrage IGI Global, 2015, ISBN: 9781466672505; 146667248X; 9781466672499, (cited By 5). |
Fault detection and estimation based on full order unknown input Hamiltonian observers Conférence Institute of Electrical and Electronics Engineers Inc., 2015, ISBN: 9781479917587, (cited By 6). |
Set-membership methodology for model-based systems prognosis Conférence vol. 28, no. 21, 2015, (Cited by: 3; All Open Access, Bronze Open Access). |
2014 |
Detection time for deterministic and stochastic systems with unknown inputs Conférence 2014, (Cited by: 1). |
Fault diagnosis based on graphical tools for multi-energy processes Conférence vol. 19, IFAC Secretariat, 2014, ISSN: 14746670, (cited By 4). |
Detection time for deterministic and stochastic systems with unknown inputs Conférence Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479973002, (cited By 1). |
Reconfigurable control of mobile robot based on a robust estimator Conférence Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479959075, (cited By 0). |
Global FDI procedure based on interconnection of local graphical observers Conférence Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479959075, (cited By 0). |
WSN implementation of DFD algorithm on SOFREL S550/WAVENIS unit Conférence Institute of Electrical and Electronics Engineers Inc., 2014, ISBN: 9781479959075, (cited By 2). |
Fault detection based on fractional order models: Application to diagnosis of thermal systems Article de journal Dans: Communications in Nonlinear Science and Numerical Simulation, vol. 19, no. 10, p. 3679 – 3693, 2014, (Cited by: 28). |
Fault detection based on fractional order models: Application to diagnosis of thermal systems Article de journal Dans: Communications in Nonlinear Science and Numerical Simulation, vol. 19, no. 10, p. 3679 – 3693, 2014, (Cited by: 28). |
2011 |
2011, (Cited by: 8). |
Conditions on diagnosis and accommodation delays for actuator fault recoverability Conférence 2011, ISBN: 9781457704130, (cited By 5). |
Robust fault diagnosis of chemical system by using uncertain bond graph model Conférence 2011, ISBN: 9781457704130, (cited By 3). |
Fault parametric detection using flatness property of systems Conférence 2011, ISBN: 9781457704130, (cited By 1). |
Actuator fault recovery study based on post-fault time analysis Conférence vol. 44, no. 1 PART 1, IFAC Secretariat, 2011, ISSN: 14746670, (cited By 1). |
2010 |
Robust fault diagnosis of networked control systems via Kalman filtering Article de journal Dans: International Journal of Automation and Control, vol. 4, no. 3, p. 343-356, 2010, ISSN: 17407516, (cited By 9). |
2009 |
Design of fault isolation filter under network induced delay Conférence 2009, ISBN: 9781424446025, (cited By 9). |
2006 |
On the fault diagnosis of uncertain singularly perturbed systems Article de journal Dans: Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, vol. 220, no. 6, p. 509-516, 2006, ISSN: 09596518, (cited By 5). |