Mohamed Naceur Abdelkrim

National Engineering School of Gabes, Kābis, Qābis, Tunisia

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Publications (162)29.23 Total impact

  • Kais Mekki · Ahmed Zouinkhi · William Derigent · Eric Rondeau · André Thomas · Mohamed Naceur Abdelkrim
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    ABSTRACT: The rapid development of Internet of Things has triggered the multiplication of communication nodes based on Radio-Frequency Identification (RFID) and Wireless Sensor Networks (WSNs) in various domains such as building, city, industry, and transport. These communication nodes are attached to a thing or directly included in the material of the thing to form a communicating material. In communicating material, one of the desired objectives is to merge the logical data with its physical material, thus simplifying the monitoring of its life cycle, the maintenance operations, and the recycling process. In this context, the initial form of the communicating material can evolve during its lifecycle. It can be split, aggregated with other materials, or partially damaged. However, the entire information in the material should always be accessible after each change. Thus, the objective of this research is to develop specific algorithms for efficient dissemination of information in the material in order to limit information losses. Two dissemination algorithms hop-counter-based and probabilistic-based are proposed for storing data by using WSNs, and non-localized and localized storage is considered. Non-localized storage ensures that information can be retrieved from each piece of the material by using a uniform data replication process. Localized storage ensures that the information is stored in a limited region of the material. Castalia/OMNeT++ simulator is used to compare the performance of the proposed algorithms with other similar protocols such as DEEP, Supple, and RaWMS.
    No preview · Article · Mar 2016 · Future Generation Computer Systems
  • Kais Mekki · William Derigent · Ahmed Zouinkhi · Eric Rondeau · André Thomas · Mohamed Naceur Abdelkrim
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    ABSTRACT: The rapid development of Internet of Things has triggered the multiplication of communication nodes based on Radio-Frequency Identification (RFID) and Wireless Sensor Networks (WSNs) in various domains such as building, city, industry, and transport. These communication nodes are attached to a thing or directly included in the material of the thing to form a communicating material. In communicating material, one of the desired objectives is to merge the logical data with its physical material, thus simplifying the monitoring of its life cycle, the maintenance operations, and the recycling process. In this context, the initial form of the communicating material can evolve during its lifecycle. It can be split, aggregated with other materials, or partially damaged. However, the entire information in the material should always be accessible after each change. Thus, the objective of this research is to develop specific algorithms for efficient dissemination of information in the material in order to limit information losses. Two dissemination algorithms hop-counter-based and probabilistic-based are proposed for storing data by using WSNs, and non-localized and localized storage is considered. Non-localized storage ensures that information can be retrieved from each piece of the material by using a uniform data replication process. Localized storage ensures that the information is stored in a limited region of the material. Castalia/OMNeT++ simulator is used to compare the performance of the proposed algorithms with other similar protocols such as DEEP, Supple, and RaWMS.
    No preview · Article · Feb 2016 · Computer Standards & Interfaces
  • Aicha Elhsoumi · Saloua Bel Hadj Ali · Rafika El Harabi · Mohamed Naceur Abdelkrim
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    ABSTRACT: 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.
    No preview · Article · Jan 2016 · Asian Journal of Control
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    ABSTRACT: The problem of Robust Simultaneous Fault Detection and Control (RSFDC) approach for a class of uncertain system with state time delay, was investigated in this paper. Based on a dynamic filter with state feedback controller, H∞ formulation of the RSFDC problem was presented. In fact, the idea given herein, is based on applying the advantages of dynamic observers, which lead to some sufficient conditions for solvability of the RSFDC problem in terms of LMI feasibility conditions. The effectiveness of the design technique is illustrated via an example.
    Preview · Article · Dec 2015
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    T. Rhouma · J.Y. Keller · D. Sauter · K. Chabir · M.N. Abdelkrim
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    ABSTRACT: In computing science, resilience is the ability of system or network architecture to recover normal operation after a brutal crash. When malicious cyber act on control signals of a Networked Control System (NCS) is designed to remain undetectable from passive model-based Fault Detection and Isolation (FDI) schemes, we show that the unobservable consequence on the state variable of the plant becomes brutally observable after the disappearance of the damaging action. In order to quickly recover the nominal behavior of the Linear Quadratic Gaussian (LQG) controller, a resilient LQG controller is obtained from an active version of the Generalized Likelihood Ratio (GLR) test designed to detect the disappearance of the malicious act and to increase the tracking ability of the Kalman filter at detection time.
    Full-text · Article · Dec 2015
  • Kais Mekki · William Derigent · Ahmed Zouinkhi · Eric Rondeau · André Thomas · Mohamed Naceur Abdelkrim
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    ABSTRACT: A new Internet of Things area is coming with communicating materials, which are able to provide diverse functionalities to users all along the product lifecycle. As example, it can track its own evolution which leads to gather helpful information. This new paradigm is fulfilled via the integration of specific electronic components into the product material. In this work, ultra-small Wireless Sensor Networks (WSN) are used for large scale materials such as concrete in smart building. Indeed, storage of lifecycle information and data dissemination in communicating materials are very important issues. Therefore, this paper provides solution for storing data by systematic dissemination through the integrated WSN. It presents USEE, an uniform data storage protocol for large scale communicating material. USEE guarantees that information could be retrieved in each piece of the material by intelligently managing data replication among each neighborhood of the WSN. Unlike related protocols of the literature, USEE considers in the same set uniformity storage in the whole network, the data importance level, and the resource constraints of sensor nodes. When compared with related protocols such as RaWMS, DEEP, and Supple, USEE shows an uniform dissemination and low communication overhead tradeoff for all the data importance levels.
    No preview · Article · Sep 2015 · Future Generation Computer Systems
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    ABSTRACT: For improving the safety and the reliability of wind turbines and shield them from catastrophic behaviors due to sudden breakdowns, it is important to detect faults as fast as possible In this paper, a generator speed sensor fault and a fault due to the changed dynamics of the drive train, induced by increased friction will be treated For diagnosis, a residual generation design is used based on a comparison between the real generator speed and the estimated one obtained by the use of Linear Parameter Varying (LPV) predictor based subspace identification technique applied at the benchmark system which is modeled as an LPV model considering the wind speed as scheduling variable The simulation results show the efficiency of the proposed method.
    No preview · Article · Apr 2015
  • G. Saoudi · R. El Harabi · M.N. Abdelkrim
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    ABSTRACT: 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.
    No preview · Article · Apr 2015
  • T. Bakir · B. Boussaid · R. Hamdaoui · M.N. Abdelkrim · C. Aubrun
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    ABSTRACT: In this paper we present a qualitative evaluation of generated residual signal using wavelet transform in purpose of fault diagnosis for wind turbine benchmark model. The fault detection is based on generating residual signal by comparing the real and an estimated behavior. The 'Takagi-Sugeno' (TS) fuzzy identification and modeling is considered to approximate the non linearity presented in this system. Due to noise in the wind speed, the generated residual signal has to trade of the risk of false alarms to the risk of undetected faults. Occurrence of false alarms is largely dictated by the quality of the model of which the design of the Fault Detection and Isolation (FDI) system relies. Therefore, the proposed method using wavelet transform is considered to remedy the problem of false alarms. The treated signal of the residue with wavelet gives significant results which are validated with the wind turbine simulator.
    No preview · Article · Apr 2015
  • O. Hrizi · B. Boussaid · A. Zouinkhi · M.N. Abdelkrim
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    ABSTRACT: 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.
    No preview · Article · Apr 2015
  • M. Saihi · B. Boussaid · A. Zouinkhi · M.N. Abdelkrim
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    ABSTRACT: 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.
    No preview · Article · Apr 2015
  • S.B. Mohamed · B. Boussaid · M.N. Abdelkrim · C. Tahri
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    ABSTRACT: This work deals with the modeling of a chemical reactor on the Chemical Tunisian Group (CTG) factory of 'Skhira' based on physical equations. Diversification of phosphate quality has a great effect on the viscosity of the slurry and hence on the level of the reactor, which brings us to model the system to make the appropriate tests. Modeling the tank attack is mainly based on physical laws as well it is accompanied by firstly, regulating level according to a mass balance and secondly, controlling the temperature according to a heat balance. In this case, supervision and control of the process are made through the GUI matlab.
    No preview · Article · Apr 2015
  • H. Ajemni · R. El Harrabi · M.N. Abdelkrim
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    ABSTRACT: Hyperghraph as graphical model is investigated to represent a chemical reaction kinetics in chemical engineering. Therefore, directed Hypergraph model is deduced from material and energy balances where vertices represent space variable, input and output variables and hyperedges are the relationship between them. This model is able to rewrite the kinetic rate using power conjugate variables (chemical affinity, rate). Based on causal and structural proprieties of graphical tools a Bond Graph-Hypergraph analog is developed. An example of a reaction with a second order is chosen to illustrate the efficiency of the proposed modeling method.
    No preview · Article · Apr 2015
  • H. Najari · R. El Harabi · M.N. Abdelkrim
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    ABSTRACT: A new method of adaptive Luenberger observer design used on actuator fault detection and estimation is investigated. This approach is based on Bond Graph representation which is a multidisciplinary tool characterised by its causal, behavioral and structural properties for control and diagnosis analysis. Thus, the necessary existence conditions are taking in consideration. An hydraulic system with two backs is considered to ensure the efficiency of the proposed graphical observer.
    No preview · Article · Apr 2015
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    Ahmed Zouinkhi · Kais Mekki · Mohamed Naceur Abdelkrim
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    ABSTRACT: Wireless sensor networks have profound effects on many application fields like security management which need an immediate and fast system reaction. Indeed, the monitoring of a dangerous product warehouse is a major issue in chemical industry field. This paper describes the design of chemical warehouse security system using the concept of active products and wireless sensor networks. A security application layer is developed to supervise and exchange messages between nodes and the control center to prevent industrial accident. Different security rules are proposed on this layer to monitor the internal state and incompatible products distance. If a critical event is detected, the application generates alert message which need a short end to end delay and low packet loss rate constraints by network layer. Thus, a QoS routing protocol is also developed in the network layer. The proposed solution is implemented in Castalia/OMNeT++ simulator. Simulation results show that the system reacts perfectly for critical event and can meet the QoS constraints of alert message.
    Preview · Article · Jan 2015
  • Rafika El Harabi · Rahma Smaili · Mohamed Naceur Abdelkrim
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    ABSTRACT: This work presents a diagnosis algorithm that combines structural causal graphical model and nonlinear dynamic Principal Component Analysis (PCA) for nonlinear systems with coupled energies incorporate the chemical kinetics of an equilibrated reaction, heat and mass transport phenomena. Therein, a coupled Bond Graph (BG) model, as an integrated decision tool, is used for modeling purpose. A Signed Directed Graph (SDG) is then deduced. A fault detection step is later carried out by generating initial responses through causal paths between exogenous and measured variables. After that, the localization of the actual fault is performed based on a nonlinear PCA (NLPCA) and back/forward propagations on the SDG. Simulation results on a pilot reactor show that the physic-chemical defects such as matter leakage, thermal insulation, or appearance of secondary reaction or temperature runaway when a very exothermic reaction occurs, can be detected and isolated.
    No preview · Article · Jan 2015
  • A. Tellili · N. Abdelkrim · A. Challouf · M.N. Abdelkrim
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    ABSTRACT: This work presents an adaptive approach for fault tolerant control of singularly perturbed systems, where both actuator and sensor faults are examined in presence of external disturbances. For sensor faults, an adaptive controller is designed based on an output-feedback control scheme. The feedback controller gain is determined in order to stabilize the closed-loop system in the fault free case and vanishing disturbance, while the additive gain is updated using an adaptive law to compensate for the sensor faults and the external disturbances. To correct the actuator faults, a state-feedback control method based on adaptive mechanism is considered. The both proposed controllers depend on the singular perturbation parameter ε leading to ill-conditioned problems. A well-posed problem is obtained by simplifying the Lyapunov equations and subsequently the controllers using the singular perturbation method and the reduced subsystems yielding to an ε-independent controller. The control scheme, designed based on the Lyapunov stability theory, guarantees asymptotic stability in presence of additive faults and external disturbances provided the singular perturbation parameter is sufficiently small. Finally, a numerical example is presented to demonstrate the effectiveness of the obtained results. © 2015, Kauno Technologijos Universitetas. All rights reserved.
    No preview · Article · Jan 2015
  • M. Chetoui · M. Thomassin · R. Malti · M. Aoun · M.N. Abdelkrim
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    ABSTRACT: This paper considers the problem of identifying continuous-time fractional systems from noisy input/output measurements. Firstly, the differentiation orders are fixed and the differential equation coefficients are estimated using an estimator based on Higher-Order Statistics: fractional fourth-order cumulants based least squares (ffocls). Then, the commensurate order is estimated along with the differential equation coefficients using a non linear optimization technique combined to the ffocls algorithm (co-ffocls). Under some assumptions on the distributional properties of additive noises and the noise-free input signals, the developed estimators give consistent results. Hence, the noise-free input signal is assumed to be non gaussian, whereas the additive noises are assumed to be gaussian. The performances of the developed algorithms are assessed through a practical application for modeling a real electronic system.
    No preview · Article · Nov 2014
  • Boumedyen Boussaid · Christophe Aubrun · Jin Jiang · Mohamed Naceur Abdelkrim
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    ABSTRACT: In this paper, a fault recovery approach using dynamic reference modification and reconfigurable linear quadratic regulator is proposed. The idea is to modify the reference according to the system constraints, which become more strict after fault occurrence to avoid any actuator saturation and ensure system stability. The effectiveness of the proposed method is evaluated by a performance index based on tracking reference error and illustrated by an aircraft example subject to actuator faults and constrained on the actuator dynamic ranges.Copyright © 2013 John Wiley & Sons, Ltd.
    No preview · Article · Nov 2014 · International Journal of Robust and Nonlinear Control
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    Kais Mekki · William Derigent · Ahmed Zouinkhi · Eric Rondeau · Mohamed Naceur Abdelkrim
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    ABSTRACT: Wireless sensor networks (WSN) have recently gained a great deal of attention as a topic of research, with a wide range of applications being explored such as communicating materials. Data dissemination and storage are very important issues for sensor networks. The problem of designing data dissemination protocols for communicating material needs different analyses related to storage density and uniformity which has not been addressed sufficiently in the literature. This paper details storage protocol on the material by systematic dissemination through integrated wireless micro-sensors nodes. The performances of our solutions are evaluated through simulation using Castalia/OMNeT++. The results show that our algorithm provides uniform data storage in communicating material for different density level.
    Full-text · Conference Paper · Nov 2014

Publication Stats

382 Citations
29.23 Total Impact Points

Institutions

  • 2007-2016
    • National Engineering School of Gabes
      Kābis, Qābis, Tunisia
    • Ecole Nationale d’Ingénieurs du Val de Loire
      Blois, Centre, France
  • 2010-2015
    • University of Gabès
      Kābis, Qābis, Tunisia
    • Université de Cergy-Pontoise
      95001 CEDEX, Ile-de-France, France
    • Centre Hospitalier Universitaire de Nancy
      Nancy, Lorraine, France
    • École Nationale Supérieure de l'Electronique et de ses Applications
      Cergy, Île-de-France, France
  • 2010-2012
    • Equipe de Recherche en Analyse des Systèmes et Modélisation Economique (ERASME)
      Lutetia Parisorum, Île-de-France, France
  • 2003-2011
    • École Nationale d'Ingénieurs de Tunis
      Tunis-Ville, Tūnis, Tunisia
  • 2009
    • Université de Reims Champagne-Ardenne
      Rheims, Champagne-Ardenne, France