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var str = 'Theoretical and Experimental Investigation of the Supply Voltage Unbalance Effects on Squirrel Cage Induction Motors';
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]]>
Power quality]]>
Voltage unbalance]]>
Complex angle]]>
Induction motor]]>
Power losses]]>
Voltage unbalance is one of the power quality problems causing a lot of ill effects on induction motors. These are namely: Overheating, line-current unbalance, derating, torque pulsation, and inefficiency. The objective of the present work is to assess and quantify the effects of voltage unbalance on induction motors using both theory and experimentation. The analytical study is performed using the complex voltage unbalance factor model of this problem. The work deals specifically with the influence of the variations in the complex angle of the voltage unbalance factor on the stator and rotor currents, stator and rotor copper losses and total losses. The experimental investigation is carried out using an apparatus that measures currents, torque and power losses.]]>
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var str = 'DEKHANDJI, Fatma Zohra';
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]]>
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var str = 'BENTARZI, Hamid';
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]]>
Algerian Journal of Signals and Systems ; Vol. 4 No. 2 (2019); 51-60]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v4i2]]>
Laboratory of Signals and Systems, Algeria]]>
2019-12-15]]>
Copyright (c) 2019 Fatma Zohra DEKHANDJI, Hamid BENTARZI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/82/66]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/82]]>
10.51485/ajss.v4i2.82]]>
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var str = 'RRT-A*-BT approach for optimal collision-free path planning for mobile robots';
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]]>
Optimal path planning]]>
Collision-free path]]>
Indoor mobile robotics]]>
Rapidly-exploring Random Trees]]>
A-Star]]>
Back-Tracking]]>
This paper deals with the problem of optimal collision-free path planning for mobile robots evolving inside indoor cluttered environments. Addressing this challenge, a hybrid approach is proposed combining Rapidly-exploring Random Trees (RRT), A-Star (A*) and Back-Tracking (BT) algorithms (RRT-A*-BT). Thus, a vision system is used for a nearly-exact modeling of the environment through image processing. Moreover, each iteration of the basic RRT approach is guided by A* algorithm while trying to take the shortest path linking the robot current position to target . In case of a blockage, BT algorithm is used to get out the robot from this situation. Finally, Piecewise Cubic Hermite Interpolating Polynomial (PCHIP) is used to smooth the generated optimal path. RRT-A*-BT approach is validated through different scenarios; obtained results are compared with previous works on same environments with same conditions. The results prove that RRT-A*-BT is better and faster than other algorithms of the literature, such as Genetic Algorithms and Conventional RRT, in terms of (i) computation time,(ii) path length and (iii) transfer time..]]>
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var str = 'Hentout, Abdelfetah';
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]]>
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var str = 'Maoudj, Abderraouf';
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]]>
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var str = 'Yahiaoui, Djelloul';
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]]>
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var str = 'Aouache, Mustapha';
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]]>
Algerian Journal of Signals and Systems ; Vol. 4 No. 2 (2019); 39-50]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v4i2]]>
Laboratory of Signals and Systems, Algeria]]>
2019-12-15]]>
Copyright (c) 2019 Abdelfetah Hentout, Abderraouf Maoudj, Djelloul Yahiaoui, Mustapha Aouache]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/81/65]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/81]]>
10.51485/ajss.v4i2.81]]>
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var str = 'Elliptic and Concentric-Elliptic Antenna Array Design using Grey Wolf Optimization';
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]]>
Elliptic antenna arrays]]>
Grey wolf optimization]]>
optimization]]>
directivity]]>
sidelobe level]]>
In this work, Grey Wolf Optimization (GWO) is applied to the optimization of elliptical and concentric elliptical antenna arrays. The objective is to minimize the Sidelobe level and improve the directivity. GWO is a nature-inspired meta-heuristic algorithm inspired by the social hierarchy and hunting behavior of grey wolves. The obtained optimal values result in a good reduction of the sidelobe level for the elliptical and concentric elliptical antenna arrays with an enhancement in the directivity. This makes the designed arrays of practical use in the communication systems.]]>
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var str = 'RECIOUI, Abdelmadjid';
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]]>
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var str = 'Traikia, Oussama';
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]]>
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var str = 'GRAINAT, Youcef';
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]]>
Algerian Journal of Signals and Systems ; Vol. 4 No. 1 (2019); 32-38]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v4i1]]>
Laboratory of Signals and Systems, Algeria]]>
2019-06-15]]>
Copyright (c) 2019 Abdelmadjid RECIOUI, Oussama Traikia, Youcef GRAINAT]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/80/64]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/80]]>
10.51485/ajss.v4i1.80]]>
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var str = 'PMU Optimal Placement for Fault Detection in Wide Area Monitoring Systems based on the Drone Squadron Optimization';
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]]>
PMU]]>
WAMS]]>
PMU placement]]>
Faults]]>
Drone Squadron Optimization]]>
Wide area monitoring systems require the integration of new technologies that provide real time synchronized phase angle measurements. The Phasor measurement units (PMUs) are the most advanced devices to achieve this task so far. The objective of this work is to find the minimum number and optimal placement of PMUs in some standardized IEEE systems. The relatively new drone squadron optimization (DSO) technique is used to solve this problem. Next, fault location is studied based on the measurements collected from these PMUs. The simulations are carried out using MATLAB SIMULINK. The results show that it is possible to achieve the observability of the overall system; however, more PMUs are needed to locate the faults.]]>
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var str = 'DEKHANDJI, Fatma Zohra';
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]]>
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var str = 'AZZOUGUI, Y.';
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]]>
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var str = 'RECIOUI, Abdelmadjid';
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]]>
Algerian Journal of Signals and Systems ; Vol. 4 No. 1 (2019); 25-31]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v4i1]]>
Laboratory of Signals and Systems, Algeria]]>
2019-06-15]]>
Copyright (c) 2019 Fatma Zohra DEKHANDJI, Y. AZZOUGUI, Abdelmadjid RECIOUI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/79/63]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/79]]>
10.51485/ajss.v4i1.79]]>
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var str = 'BTLBO Based SPMUs Placement Optimization for Fault Observation in Power Grid';
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]]>
Binary teaching learning technique]]>
optimization]]>
PMUs placement]]>
fault]]>
observability]]>
The placement of synchro-phasor measurement units in electric transmission systems has also gained much attention for enhancing the control as well as the protection scheme. In this research work, a binary teaching learning based optimization (BTLBO) algorithm for the optimal placement of synchro-phasor measurement units (SPMUs) is proposed. The optimal PMU placement problem is formulated to minimize the number of SPMUs installation subject to full network observability of the power system buses under fault conditions. The effectiveness of the proposed method is verified by the simulation of IEEE 14-bus benchmark system.]]>
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var str = 'ZITOUNI, Abdelkader';
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]]>
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var str = 'BENTARZI, Hamid';
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]]>
Algerian Journal of Signals and Systems ; Vol. 4 No. 1 (2019); 18-24]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v4i1]]>
Laboratory of Signals and Systems, Algeria]]>
2019-06-15]]>
Copyright (c) 2019 Abdelkader ZITOUNI, Hamid BENTARZI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/78/62]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/78]]>
10.51485/ajss.v4i1.78]]>
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var str = 'Application of the Unit Circle Representation to Pattern Synthesis of Nonuniformly Spaced and Nonuniformly Excited Arrays based on the Teaching Learning Based Optimization';
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]]>
unit circle representation]]>
pattern synthesis]]>
nonuniform arrays]]>
Optimization]]>
TLBO]]>
Pattern synthesis of Antenna array has gained much attention over the last years as they constitute an important role in the modern communication systems. Unit circle-based techniques such as Schelkunoff null placement method have proved their effectiveness to synthesize uniformly spaced linear arrays. Nonuniformly spaced antenna array pattern synthesis has been investigated and interesting results have been obtained. In this work, the unit circle representation approach is applied to synthesize nonuniformly spaced and nonuniformly excited linear arrays. The objective is to accurately place nulls in the desired directions while achieving the least possible sidelobe level. The problem is cast as an optimization problem that is solved using the Teaching Learning Based Optimization (TLBO). Examples are dealt with to prove the design approach effectiveness and flexibility for modern communication system applications.]]>
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var str = 'RECIOUI, Abdelmadjid';
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]]>
Algerian Journal of Signals and Systems ; Vol. 4 No. 1 (2019); 8-17]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v4i1]]>
Laboratory of Signals and Systems, Algeria]]>
2019-06-15]]>
Copyright (c) 2019 Abdelmadjid RECIOUI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/77]]>
10.51485/ajss.v4i1.77]]>
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var str = 'PMU Optimal Placement in Wide Area Monitoring Systems using Grey Wolf Optimization technique';
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]]>
Smart Grid]]>
Wide Area Monitoring Systems (WAMS)]]>
hasor measurement unit (PMU)]]>
optimal PMU placement (OPP)]]>
Grey-Wolf optimization]]>
Wide area monitoring system requires the integration of an advanced technology that provides real time synchronized phase angle measurements at all their measurement points. The phasor measurement units are the most advanced devices to achieve that. The objective of this work is first, to find the optimal placement of a minimum number of PMUs in some standardized IEEE systems. Next, the same method was applied to the Algerian 63 bus system. Two cases are taken into consideration: the minimum number of PMUs without considering the ZIB, then, considering the ZIB. The simulations are carried out using MATLAB/SIMULINK.]]>
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var str = 'AZZOUGUI, Y.';
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]]>
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var str = 'RECIOUI, A.';
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var str = 'MANSOURI, A.';
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]]>
Algerian Journal of Signals and Systems ; Vol. 4 No. 1 (2019); 1-7]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v4i1]]>
Laboratory of Signals and Systems, Algeria]]>
2019-06-15]]>
Copyright (c) 2019 Y. AZZOUGUI, A. RECIOUI, A. MANSOURI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/76/61]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/76]]>
10.51485/ajss.v4i1.76]]>
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var str = 'Mathematical Method for Parameters Calculation of electric Characteristic of Photovoltaic Module';
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]]>
PV modules]]>
Parameter extraction]]>
Four parameter model]]>
Five parameter model]]>
Two diode model]]>
Environmental conditions]]>
The study of photovoltaic systems (PV) in an efficient manner requires a precise knowledge of the I-V characteristic curves of PV modules. An accurate current-voltage (I-V) model of PV modules is inherently implicit and non-linear and calls for iterative computations to obtain an analytical expression of current as a function of voltage. In this paper, numerical approaches are proposed to forecast the PV modules performance for engineering applications. The proposed approaches were implemented in a Matlab script and the results have been compared with the datasheet values provided by manufacturers in standard test conditions (STC). These approaches permit to extract the unknown parameters and also allow quantifying the effects of module temperature and irradiance on key cells parameters. In this work, a comparative study of the performance characteristics for different modules thin films and solid is analyzed by a single-diode equivalent circuit using four- and five-parameter models and two diode model.]]>
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var str = 'Benabdelkrim, B.';
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]]>
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var str = 'Benatillah, A.';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 4 (2018); 190-200]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i4]]>
Laboratory of Signals and Systems, Algeria]]>
2018-12-15]]>
Copyright (c) 2018 B. Benabdelkrim, A. Benatillah]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/75/60]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/75]]>
10.51485/ajss.v3i4.75]]>
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var str = 'Analog Filter Design: A Succinct Investigation';
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]]>
Analog filters]]>
Passive filters]]>
Active filters]]>
Butterworth]]>
Chebychev]]>
Bessel]]>
In many systems, it is essential to extract or enhance the desired information and remove the unwanted components. This is the simplest aim of signal processing where the filter turns out to be the key element. The objective of this paper is to investigate the characteristics of analog passive and active filters. Particularly, the interest goes to the conventional Butterworth, Chebychev and Bessel filter. A comparative study of these filters is done. The different circuits are simulated using the MULTISIM software to visualize the magnitude and phase responses. The procedure of designing the different filters is presented so that it can be used in any application.]]>
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var str = 'RECIOUI, Abdelmadjid';
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]]>
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var str = 'HAMRIOUI, Fatma Zohra';
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]]>
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var str = 'BENAMROUCHE, Kenza';
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]]>
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var str = 'MERABET, Oussama';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 4 (2018); 174-189]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i4]]>
Laboratory of Signals and Systems, Algeria]]>
2018-12-15]]>
Copyright (c) 2018 Abdelmadjid RECIOUI, Fatma Zohra HAMRIOUI, Kenza BENAMROUCHE, Oussama MERABET]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/74/59]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/74]]>
10.51485/ajss.v3i4.74]]>
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var str = 'Contribution to the Exploitation of Artificial Intelligence in the Domain of Maintenance Diagnosis';
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Expert Systems]]>
FMEA]]>
Diagnosis]]>
Maintenance]]>
Decision support]]>
Increasing the performance of production units becomes a complex task from the technical point of view, especially when it comes to ensuring the availability and continuity of production systems where maintenance plays a fundamental role; it consists of checking and ensuring permanent monitoring of the installations of these systems. This operation requires continuous and high-level training of the operators, in order to overcome this limit, we call upon the field of artificial intelligence and expert systems. The basic idea of this work is the study of the contribution of expert systems in maintenance. It is a matter of synthesizing, from a bibliographic study, a logic to allow integrating the expert systems of diagnosis of breakdowns and dysfunctions in the maintenance of the systems of production; this last expert systems gives the better performance concerning the settling time and it’s always taken]]>
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var str = 'INEL, Fouad';
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Algerian Journal of Signals and Systems ; Vol. 3 No. 4 (2018); 166-173]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i4]]>
Laboratory of Signals and Systems, Algeria]]>
2018-12-15]]>
Copyright (c) 2018 Fouad INEL]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/73]]>
10.51485/ajss.v3i4.73]]>