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                  <text>Algerian Journal of Signals and Systems </text>
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                <text>BENDIB, Riad</text>
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                <text>BATOUT, Noual</text>
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                <text>KHELASSI, Abdelmajid</text>
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                <text>Distillation column is very important and high consuming energy equipment in oil refineries, such that 3% of the energy consumption in the world is allocated in distillation column. The fact that let controlling the distillation column an attractive field for researcher, and hence different control schemes are proposed by researchers. In this paper we will provide a comparative study between different control schemes for a binary distillation column two simple configurations (the most known ones) (LV&amp;amp;DV) and two more complicated ones ((L/D,V/B) &amp;amp; Ryskamp’s) we compare them in the basis of interactions and disturbance propagation. The mathematical models for the material balance configurations for the considered configurations are deduced using mathematical transformations (in the paper the general case of transformation between any two configurations is presented), taking the conventional configuration (LV) as a based configuration, the Dynamic Relative Magnitude Criterion (DRMC) is used to assess the interactions and disturbance propagation. The results show that the ratios control schemes are less sensitive to interactions compared with energy balance configuration LV. The same was noticed with DV configuration however other process drawbacks let it not recommended in industrial field.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/50</text>
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                <text>eng</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/50/38</text>
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                <text>Copyright (c) 2017 Riad BENDIB, Noual BATOUT, Abdelmajid  KHELASSI</text>
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                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 4 (2017); 248-254</text>
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              <elementText elementTextId="338105">
                <text>2676-1548</text>
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              <elementText elementTextId="338106">
                <text>2543-3792</text>
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                <text>10.51485/ajss.v2i4</text>
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                <text>distillation</text>
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                <text>interaction</text>
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                <text>DRMC</text>
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                <text>control configurations</text>
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                <text>Design of Effective Control Schemes for Binary Distillation Columns</text>
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                <text>BENDIB, Riad</text>
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                <text>BATOUT, Noual</text>
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                <text>BENTARZI, Hamid</text>
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                <text>Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing nonlinear controllers via the use of heuristic information; this is done through the application of the techniques that use human judgment and experience rather than precise mathematical models. However, obtaining an optimal set of fuzzy membership functions (i.e. transferring the operator experience) is not an easy task. Different ways are suggested to deal with this problem. In this paper, we will use a powerful tool based on genetic algorithm to design a fuzzy logic controller that is used as a supervisor of PID controller that is the fuzzy controller is used to tune the PID controller for a feed water of a steam generation system. The simulation results show that the proposed technique is very useful to get an effective control action for the system.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/49</text>
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                <text>eng</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/49/37</text>
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          <element elementId="47">
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="338077">
                <text>Copyright (c) 2017 Riad  BENDIB, Noual  BATOUT, Hamid BENTARZI</text>
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                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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          <element elementId="48">
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              <elementText elementTextId="338079">
                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 4 (2017); 240-247</text>
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              <elementText elementTextId="338080">
                <text>2676-1548</text>
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                <text>2543-3792</text>
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                <text>10.51485/ajss.v2i4</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="338083">
                <text>fuzzy control</text>
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              <elementText elementTextId="338084">
                <text>hierarchical genetic algorithm</text>
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                <text>supervisory control</text>
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                <text>PID</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="338087">
                <text>Optimization of the Membership Functions for a Fuzzy Controller Using an Improved Genetic Algorithms</text>
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                  <text>Algerian Journal of Signals and Systems </text>
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                <text>ALLOU , Sami</text>
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                <text>ZENNIR, Youcef</text>
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                <text>The paper present our control approach based in fuzzy controller for platooning vehicles. this approach based to control lateral and longitudinal movement of vehicles in different navigation trajectory. kinematic model of vehicles are described follows by describe of controller design. The communication is provided between vehicles with exchange information, speed and orientation angle with a fixed safety distance between vehicles. 3D simulation developed with matlab, Simulink and v-rep software were carried . Different reference trajectory are used to compared and approve our approach. The simulation results illustrate the efficiency of our control design and open the perspectives for future work.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/48</text>
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                <text>10.51485/ajss.v2i4.48</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/48/36</text>
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          <element elementId="47">
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              <elementText elementTextId="338052">
                <text>Copyright (c) 2017 Sami  ALLOU , Youcef ZENNIR</text>
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              <elementText elementTextId="338053">
                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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          <element elementId="48">
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              <elementText elementTextId="338054">
                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 4 (2017); 228-239</text>
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                <text>2676-1548</text>
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                <text>2543-3792</text>
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                <text>10.51485/ajss.v2i4</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="338058">
                <text>Vehicle modeling</text>
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              <elementText elementTextId="338059">
                <text>Fuzzy logic control approach</text>
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                <text>platooning vehicles</text>
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                <text>3D simulation</text>
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              <elementText elementTextId="338062">
                <text>Robust Fuzzy Path Tracking Control of a Platooning Vehicles</text>
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              <elementText elementTextId="338017">
                <text>INEL, Fouad</text>
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                <text>ZENNIR, Youcef</text>
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                <text>In this paper we present a new control architecture based on the robust sliding mode control applied to control a nonlinear system (parallel cable robot). This approach is widely used to address the uncertainties and disturbances of nonlinear systems and to improve the performance of the robot in terms of tracking a desired path. A dynamic model is presented followed by the description of the control approach used. To do this, numerical simulations were carried out by developing a specific code including a graphical user interface for a user-friendly real time. The simulation results for a dynamic model with sliding mode control are discussed for different trajectories applied to this robot, to confirm the validity of accurate tracking of a desired path before future work description.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/47</text>
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                <text>Copyright (c) 2017 Fouad INEL, Youcef ZENNIR</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 4 (2017); 218-227</text>
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                <text>Cable driven robot</text>
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                <text>Robust Sliding Mode Control for Novel Type of Parallel Robot</text>
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                <text>BENSACI, Chaima</text>
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                <text>In this paper, we present our navigation control approach of a mobile robot (Turtlebot 2 robot) based on the stability Lyapunov function; our mobile robot is composed of two differential wheels. The kinematic model of the robot is presented followed by the description of the control approach. A 3D simulation under the Gazebo software is developed in interaction with the kinematic model and the control approach under MATLAB-SIMULINK software. The purpose of this study is to carry out an autonomous navigation; we initially planned different trajectories then we tried to be followed them by the robot. Our navigation strategy based on its odometry information, based on robot position and orientation errors; Velocity commands are sent for the robot to follow the chosen path. Different simulations were performed in 2D and 3D and the results obtained are presented followed by the envisaged future work.</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/46</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/46/34</text>
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                <text>Copyright (c) 2017 Chaima  BENSACI, Youcef ZENNIR, Denis POMORSKI</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 4 (2017); 207-217</text>
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                <text>2676-1548</text>
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                <text>2543-3792</text>
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                <text>10.51485/ajss.v2i4</text>
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                <text>Autonomous  navigation,</text>
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                <text>Gazebo  environment</text>
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                <text>lyapunov stability function</text>
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                <text>2D and 3D simulation</text>
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                <text>Control Of Mobile Robot Navigation Under The Virtual World Matlab-Gazebo</text>
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                  <text>Algerian Journal of Signals and Systems </text>
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                <text>CHEBILA, Mourad</text>
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                <text>Dependability of multi-component systems is highly impacted by common cause failures, what necessitates the appropriate consideration of such events in the dependability modeling process. This paper is dedicated to study the application of the binomial failure rate model in handling the contribution of common cause failures to estimate two key dependability indicators, namely: unavailability and unconditional failure intensity, using fault tree analysis with the probabilistic treatment of the associated parameter uncertainty. The results of such application are thoroughly compared to those of the traditional Beta factor model to highlight the possible differences.</text>
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                <text>eng</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/45/33</text>
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                <text>Copyright (c) 2017 Mourad  CHEBILA, Fares  INNAL</text>
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              <elementText elementTextId="337977">
                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 4 (2017); 199-206</text>
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                <text>2676-1548</text>
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                <text>10.51485/ajss.v2i4</text>
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                <text>Dependability</text>
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                <text>Binomial Failure Rate Model</text>
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                <text>Dependability Measures Estimation Using Binomial Failure Rate Model</text>
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                <text>Ben Rahmoune, Mohamed</text>
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                <text>Guemana, Mouloud</text>
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                <text>Hafaifa , Ahmed</text>
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                <text>Recently, reliability has become a key parameter of quality and decision support, covering many aspects, such as failure analysis systems. A reliability analysis is essential for the study of operating safety in industrial systems. In this paper, we summarised evaluation methods and real-time reliability analyses. This work proposes solutions to real-time reliability modelling, as applied to an industrial pump. The model will be used to increase the lifespan of the equipment, to help develop suitable maintenance plans and to assign a probability to good operating system examined to choose the best dedicated industrial pump technology solutions</text>
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                <text>eng</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>https://ajss.dz/index.php/ajss/article/view/44/32</text>
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              <elementText elementTextId="337947">
                <text>Copyright (c) 2017 Mohamed  Ben Rahmoune, Mouloud  Guemana, Ahmed  Hafaifa</text>
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                <text>https://creativecommons.org/licenses/by-nc/4.0</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 4 (2017); 189-198</text>
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              <elementText elementTextId="337950">
                <text>2676-1548</text>
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                <text>reliability  estimation</text>
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                <text>reliability  modelling</text>
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                <text>maintenance costs</text>
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                <text>Reliability modelling using Weibull distribution on real-time system in oil drilling installations</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 3 (2017); 180- 188</text>
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                <text>2676-1548</text>
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                <text>Function Block for Rotary Kiln Coating Disintegration Detection</text>
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                <text>Smart Grids require a complex two-way communication infrastructure, sustaining power flows between intelligent components, and sophisticated computing and information technologies, as well as business applications. Data will flow over generation, transmission, distribution, and user networks in the SG. The amount of data generated by smart devices will experience explosive growth in the future. This tremendous data amount places considerable load on the communications infrastructure of the SG. This paper highlights a review on the smart grid focusing on the communication infrastructure and the data issues. A scan of the most contributions relevant to the topic is presented. The key opportunities and challenges of the communication part of the smart grid are presented for further research.</text>
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                <text>Copyright (c) 2017 Afaf  Saoud, A. RECIOUI</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 3 (2017); 162-179</text>
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                <text>2676-1548</text>
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                <text>A  review on Data communication in smart grids</text>
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                <text>BENHENNI, Hakim</text>
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                <text>The Phasor measurement units (PMUs) have become more and more attractive in power engineering as they can provide synchronized measurements of real-time voltage and currents phasors. The objective of this work is twofold: first, the optimal placement of PMUs is done in the standardized IEEE systems. Next, fault location is determined based on the measurements collected from these PMUs. The simulations are carried out using MATLAB SIMULINK. The results show that it is possible to exploit the PMU measurement data to locate and hence cure the faults in the power system.</text>
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                <text>Laboratory of Signals and Systems, Algeria</text>
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                <text>Copyright (c) 2017 Abdelmadjid RECIOUI, Mohamed  TAZIBT, Hakim  BENHENNI</text>
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                <text>Algerian Journal of Signals and Systems ; Vol. 2 No. 3 (2017); 149- 161</text>
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                <text>2676-1548</text>
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                <text>Fault Detection in Wide Area Monitoring Systems via PMU Optimal Placement</text>
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