Mohamed Naceur Abdelkrim

National Engineering School of Gabes, Kābis, Qābis, Tunisia

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Publications (149)26.93 Total impact

  • 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.
    Future Generation Computer Systems 09/2015; DOI:10.1016/j.future.2015.09.015 · 2.79 Impact Factor
  • Kais Mekki · William Derigent · Ahmed Zouinkhi · Eric Rondeau · André Thomas · Mohamed Naceur Abdelkrim ·

    Computer Standards & Interfaces 08/2015; DOI:10.1016/j.csi.2015.08.010 · 0.88 Impact Factor
  • Houda Chouiref · Boumedyen Boussaid · M. Naceur Abdelkrim · Vicenc Puig · Christophe Aubrun ·
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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.
    04/2015; 8(2):176. DOI:10.15866/iremos.v8i2.5200
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Source
    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.
    01/2015; 4(6). DOI:10.5121/ijcsea.2014.4605
  • 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.
  • Kais Mekki · William Derigent · Ahmed Zouinkhi · Eric Rondeau · André Thomas · Mohamed Naceur Abdelkrim ·

    Future Generation Computer Systems 01/2015; · 2.79 Impact Factor

  • 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.
    International Journal of Robust and Nonlinear Control 11/2014; 24(17). DOI:10.1002/rnc.3020 · 3.18 Impact Factor
  • Source
    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.
    10ème conférence internationale Francophone de Modélisation & Simulation, MOSIM’2014; 11/2014
  • Source
    Messaoud Amairi · S. Najar · M. Aoun · Z. Lassoued · M. N. Abdelkrim ·
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    ABSTRACT: The paper deals with set-membership parameter estimation of fractional models in the time-domain. In such a context, the equation-error is supposed to be unknown-but-bounded with a priori known bounds. The proposed approach is based on the Optimal Bounding Ellipsoid algorithm and it is applied to linear fractional systems. Two groups of algorithms are compared to each others. The objective of the first one is seeking the minimal volume ellipsoid bounding the feasible parameter set. The aim of the second is to promote convergence. A numerical example of second dimension fractional system is presented to demonstrate the performance of the proposed approach.
  • Source
    Asma Aribi · Christophe Farges · Mohamed Aoun · Pierre Melchior · Slaheddine Najar · Mohamed Naceur Abdelkrim ·
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    ABSTRACT: 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.
    Communications in Nonlinear Science and Numerical Simulation 10/2014; 19(10):3679–3693. DOI:10.1016/j.cnsns.2014.03.006 · 2.87 Impact Factor
  • Source
    Kais Mekki · William Derigent · Ahmed Zouinkhi · Eric Rondeau · Mohamed Naceur Abdelkrim ·
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    ABSTRACT: The communicating material is a new paradigm of Internet of Things. It is designed to perform efficient product control and ensure an information continuum all along the product life cycle. Therefore, storage of life cycle information and data dissemination in communicating materials are very important issues. This paper provides solutions for storing data on the material by systematic dissemination through integrated ultra-small wireless sensors nodes using counter-based broadcasting scheme, hop-counter and probabilistic storage mechanisms. Different algorithms are developed for non-localized and localized dissemination. The performances of our solutions are evaluated for non-segmented and then segmented data. Comparison results between storage mechanisms via simulation using Castalia/OMNeT++ show that probabilistic algorithm provides uniform and efficient data dissemination than hop-counter one for different density level.
    The 2nd IEEE International Conference on Future Internet of Things and Cloud, Barcelona, Spain; 08/2014
  • Rafika El Harabi · Belkacem Ould-Bouamama · Mohamed Naceur Abdelkrim ·
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    ABSTRACT: Supervision of chemical and biochemical processes is difficult due to various factors, for example the evolution of nonlinear state variables, uncertainties in parameters and disturbances, and system operating conditions. The complexities arise out of the energetic couplings in the model. In this work, the bond graph representation, as a unified and multidisciplinary tool, is used for dynamic modeling and diagnosis for process engineering, incorporating the chemical kinetics of an equilibrated reaction, heat and mass transport phenomena. A pseudo bond graph model technique is applied to a pilot reactor fitted with a mono-fluid heating/cooling system. A modeling structure has been implemented through process sub-units and validated through experimental observations. This technique is proposed to indicate physico-chemical failures, for example matter leakage, caloric isolation, or the occurrence of a secondary reaction or temperature runaway when a very exothermic reaction occurs. It provides the computational algorithms to eliminate unknown variables from coupled thermochemical models and thus generate analytical redundancy relations (ARRs) in terms of measurements and parameters for online diagnosis.
    Simulation 04/2014; 90(4):405-424. DOI:10.1177/0037549714521305 · 0.82 Impact Factor

Publication Stats

320 Citations
26.93 Total Impact Points


  • 2008-2015
    • National Engineering School of Gabes
      Kābis, Qābis, Tunisia
  • 2010-2014
    • 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
  • 2007
    • Ecole Nationale d’Ingénieurs du Val de Loire
      Blois, Centre, France