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var str = 'Optimal placement of power factor correction capacitors in power systems using Teaching Learning Based Optimization';
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]]>
POWER FACTOR]]>
Capacitor placement]]>
TLBO]]>
Optimization]]>
This paper presents a method to optimize the placement of capacitors in a distribution system to correct power factor and reduce losses and costs. The method uses the Teaching Learning Based Optimization (TLBO) method to solve the optimal capacitor placement problem. The combinatorial nature of the problem suggests the employment of a mixed binary and real valued TLBO algorithm. To validate the efficiency of the method, it was applied to various examples (different bus systems) and simulation results are discussed.]]>
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var str = 'Bouaraki, Mouloud';
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]]>
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var str = 'RECIOUI, Abdelmadjid';
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]]>
Algerian Journal of Signals and Systems ; Vol. 2 No. 2 (2017); 102- 109]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i2]]>
Laboratory of Signals and Systems, Algeria]]>
2017-06-15]]>
Copyright (c) 2017 Mouloud Bouaraki, Abdelmadjid RECIOUI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/37/25]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/37]]>
10.51485/ajss.v2i2.37]]>
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var str = 'Light Flicker Frequencies in the HID lamps';
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]]>
Acoustic resonance]]>
Fast Fourier Transform FFT]]>
photodiode]]>
Arc Motion]]>
MOS image sensors]]>
In order to reduce the electric consumption for high intensity discharge lamps (HID), the use of high frequencies electronic ballasts represents both a solution and many advantages such as, the decrease in the congestion, low costs and weak losses, approximately 10%. However it is not regarded as perfectly reliable, this is due in a great part to the appearance of Acoustic Resonances inside the arc tube which can result in low frequency light flicker and even lamp destruction. Experimentally we used a HID lamp of 50 W and we determined, light flicker frequencies and the arc motion frequencies using a photodiode which detects the light intensity fluctuation and a camera to record the arc motion. The experiment was done in the Department of Mechanical Engineering and Production, Hamburg University of Applied Sciences.]]>
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var str = 'Amer, Lakhdar';
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]]>
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var str = 'Hamouda, Messaoud';
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]]>
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var str = 'Benachiba, Chellali';
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]]>
Algerian Journal of Signals and Systems ; Vol. 2 No. 2 (2017); 96-101]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i2]]>
Laboratory of Signals and Systems, Algeria]]>
2017-06-15]]>
Copyright (c) 2017 Lakhdar Amer, Messaoud Hamouda, Chellali Benachiba]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/36/24]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/36]]>
10.51485/ajss.v2i2.36]]>
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var str = 'Modeling and Diagnostic of Permanent Magnet Synchronous Machine under Insulation Failure Condition';
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]]>
PMSM]]>
inter-turn]]>
short-circuit]]>
modeling]]>
ESA]]>
EPVA]]>
One of the most frequent faults in PMSM stator is the turn-to-turn short-circuit fault. So, the aim of this paper is to present a dynamic model for PMSM with turn-to-turn short-circuit fault based on equivalent electric circuit model. Two simple and useful diagnostic techniques ESA an EPVA based on frequency analysis are applied to detect this kind of fault. The accuracy of diagnosis is based on adding the real waveform of back-EMF.]]>
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var str = 'CHOUROUK, BOUCHAREB';
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]]>
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var str = 'MOHAMED-SAID, NAIT-SAID';
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]]>
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var str = 'FETHI, LAHMER';
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]]>
Algerian Journal of Signals and Systems ; Vol. 2 No. 2 (2017); 86- 95]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i2]]>
Laboratory of Signals and Systems, Algeria]]>
2021-02-02]]>
Copyright (c) 2017 BOUCHAREB CHOUROUK, NAIT-SAID MOHAMED-SAID, LAHMER FETHI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/35/23]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/35]]>
10.51485/ajss.v2i2.35]]>
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var str = 'Design of Standalone Micro-Grid Systems Using Teaching Learning Based Optimization';
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]]>
Renewable energies]]>
standalone systems]]>
TLBO]]>
Homer]]>
Meeting the load demand reliably and efficiently is the most important issue of any electrical system. Installing huge off grid hybrid power systems to deliver enough power is economically unwise. Therefore, it is necessary to minimize the size and number of units of the off-grid power system components and operate the system under an appropriate power management strategy to ensure efficient system operation. The successfulness of installing an off grid power system in remote areas depends on the total net present cost occurs during the lifetime of the project. In this work, optimization of off grid power system component sizing is performed using two tools: Homer and a metaheuristic optimization method that has been recently developed, the Teaching Learning Based Optimization (TLBO).]]>
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var str = 'RECIOUI, Abdelmadjid';
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]]>
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var str = 'DASSA, Khaled';
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]]>
Algerian Journal of Signals and Systems ; Vol. 2 No. 2 (2017); 75- 85]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i2]]>
Laboratory of Signals and Systems, Algeria]]>
2017-06-15]]>
Copyright (c) 2017 Abdelmadjid RECIOUI, Khaled DASSA]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/34/22]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/34]]>
10.51485/ajss.v2i2.34]]>
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var str = 'Fault Diagnostic of Doubly-Fed Induction Generator in Stator Inter-Turn Short Circuit Based Wind Turbine';
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]]>
Wind Energy]]>
DFIG]]>
short circuit]]>
vector control]]>
inter-turn short-circuit]]>
fault diagnostic]]>
This paper describes a Fault Tolerant Control (FTC) of a doubly-fed induction generator (DFIG) based wind turbine model suitable for the simulation of this generator in the mode faulty mode. The dynamic model of a DFIG with stator inter-turn short circuit fault is proposed. A model (abc) is developed, which can represent both the healthy and faulty conditions. The DFIG is directly connected to the grid whereas the rotor winding is fed by back-to-back PWM converters .the Control schemes for active and reactive power regulation are designed firstly. Under different wind speed, maximum power point tracing (MPPT) control is implemented to ensure the optimum active power output. The numerical simulation developed in Matlab/Simulink studies the effects of stator inter-turn short-circuit in the DFIG. Afterward, the application of Approach technique of Adaptive Obs]]>
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var str = 'Boumalha, N.';
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]]>
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var str = 'Hachelef, R.';
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]]>
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var str = 'Kouchih, D.';
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]]>
var options = {
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var str = 'Tadjine, M.';
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]]>
var options = {
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var str = 'Boucherit, M.S.';
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]]>
Algerian Journal of Signals and Systems ; Vol. 2 No. 2 (2017); 63-74.]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i2]]>
Laboratory of Signals and Systems, Algeria]]>
2017-06-15]]>
Copyright (c) 2017 N. Boumalha, R. Hachelef, D. Kouchih, M. Tadjine, M.S. Boucherit]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/33/21]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/33]]>
10.51485/ajss.v2i2.33]]>
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var str = 'IMC Multi-Controller Strategies applied on a Manipulator Robot';
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]]>
Modeling]]>
Multi-control approach]]>
Multi-controller contro]]>
Fractional PID controlle]]>
IMC controller]]>
LQG controller]]>
Oustaloup Recursive Approximation method]]>
The paper focuses on the use of multi-controller approach to control a robot wrist (STÄUBLI robot RX 90). The descriptions of a nonlinear mathematical model of the process have been presented with the local parametric models around operating points. Controller design of a conventional PID, IMC control, LQG control and Hv (loop shaping) has been described around each selected operating points for each local parametric models. Finally , in order to show the efficiency of the proposed method, some simulation results in CAO 3D solid-works and MATLAB environments are given.]]>
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};
var str = 'Zennir, Y.';
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]]>
var options = {
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var str = 'Guechi, E.';
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]]>
var options = {
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var str = 'Chetioui, L.';
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]]>
var options = {
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var str = 'Bendib, R.';
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]]>
Algerian Journal of Signals and Systems ; Vol. 2 No. 1 (2017); 51-62]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i1]]>
Laboratory of Signals and Systems, Algeria]]>
2017-03-15]]>
Copyright (c) 2017 Y. Zennir, E. Guechi, L. Chetioui, R. Bendib]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/32/20]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/32]]>
10.51485/ajss.v2i1.32]]>
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var str = 'False Alarms Rate Reduction Using Filtered Monitoring Indices';
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]]>
False Alarms Rate, Fault Detection and Diagnosis]]>
Fuzzy Logic Based Filter]]>
Median Filter]]>
Principal Component Analysis (PCA)]]>
False alarms are the major problem in fault detection when using multivariate statistical process monitoring such as principal component analysis (PCA), they affect the detection accuracy and lead to make wrong decisions about the process operation status. In this work, filtering the monitoring indices is proposed to enhance the detection by reducing the number of false alarms. The filters that were used are: Standard Median Filter (SMF), Improved Median Filter (IMF) and fuzzy logic based filter. Signal to Noise Ratio (SNR), False Alarms Rate (FAR) and the detection time of the fault were used as criteria to compare their performance and their filtering action influence on monitoring. The algorithms were applied to cement rotary kiln data; real data, to remove spikes and outliers on the monitoring indices of PCA, and then, the filtered signals were used to supervise the system. The results, in which the fuzzy logic based filter showed a satisfactory performance, are presented and discussed.]]>
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var str = 'AMMICHE, M.';
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]]>
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var str = 'KOUADRI, A.';
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]]>
Algerian Journal of Signals and Systems ; Vol. 2 No. 1 (2017); 40- 50]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i1]]>
Laboratory of Signals and Systems, Algeria]]>
2017-03-15]]>
Copyright (c) 2017 M. AMMICHE, A. KOUADRI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/31/19]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/31]]>
10.51485/ajss.v2i1.31]]>
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var str = 'Performance comparison of some censoring CA-based CFAR processors in heterogeneous environments';
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]]>
Adaptive CFAR detection]]>
Automatic censoring]]>
heterogeneous environments]]>
Probability of detection]]>
Probability of false alarm]]>
Performance comparison of automatic censoring CA-based CFAR processors contribute to the development of more efficient censoring detectors. In this paper, the authors analyze the performance of the detection schemes which named: ACCA-odv- (Automatic Censored Cell Averaging -ordered data variability-), ADCCA- (Automatic Dual Censoring Cell Averaging-), ACGCA- (Automatic Censoring Greatest Cell Averaging-), and GGDC- (Goodness-of-fit Generalized likelihood test with Dual Censoring-)-CFAR's in heterogeneous environments. The assumed environments are represented by three situations: first, the homogeneous situation, second, the presence of interfering targets, and the third case is allowed to the presence of clutter edges. The obtained results, under the assumption of a Gaussian clutter and a mono pulse processing, show that most of the studied detectors perform well in a specific conditions and there is a need to further developments to ensure the required performances for recent target detection application.]]>
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var str = 'ZATTOUTA, B.';
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]]>
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var str = 'MESSIKH, L.';
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]]>
Algerian Journal of Signals and Systems ; Vol. 2 No. 1 (2017); 31- 39]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i1]]>
Laboratory of Signals and Systems, Algeria]]>
2017-03-15]]>
Copyright (c) 2017 B. ZATTOUTA, L. MESSIKH]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/30/18]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/30]]>
10.51485/ajss.v2i1.30]]>
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var str = 'Minimum time control of a two DOF robotic arm with noised measurements';
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]]>
Robotic arm]]>
Minimum time control]]>
Non-linear control]]>
Kalman-Luenberger observer]]>
This paper presents a new approach for minimum time control dynamics of a two links manipulator robot in the case of noised outputs. Briefly, this technique consists of linearizing a nonlinear dynamic model of the robot by using a feedback linearization control. Once, the linear model has been obtained, a minimum time control with constraints, using the Pontryagin Minimum Principle will be developed. Here, the objective is to control the arm robot from an initial configuration to the final configuration in minimum time. The state variables are estimated by a Kalman-Luenberger observer. In order to show the efficiency of the proposed method, some simulation results are given.]]>
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var str = 'Guechi, El-H.';
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]]>
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var str = 'Zennir , Y.';
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]]>
var options = {
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var str = 'Messikh, L.';
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]]>
var options = {
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var str = 'Benloucif , M-L.';
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Algerian Journal of Signals and Systems ; Vol. 2 No. 1 (2017); 21- 30]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i1]]>
Laboratory of Signals and Systems, Algeria]]>
2017-03-15]]>
Copyright (c) 2017 El-H. Guechi, Y. Zennir , L. Messikh, M-L. Benloucif]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/29/17]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/29]]>
10.51485/ajss.v2i1.29]]>
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var str = 'Analysis Study of Radar Probability of Detection for Fluctuating and Non-fluctuating Targets';
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]]>
Radar signal processing]]>
radar detection]]>
probability of detection]]>
probability of false alarm]]>
Swerling target model]]>
The radar analyst can develop and use mathematical and statistical techniques that lead to accurate prediction or adapting models for estimating the target detection performance. In radar detection theory, detection probability, false alarm probability, number of samples non-coherently integrated for a detection test, and signal-to-noise ratio (SNR) are closely interrelated. The present paper is intended to provide an overview of the calculations of radar probability of detection and its related parameters. The main methods and procedures for predicting the detection performance of either non-fluctuating or fluctuating targets are described. Performance’s analysis of the studied models is included, along with some graphical simulation examples.]]>
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var str = 'AOUNALLAH, Naceur';
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var str = 'KHALFA, Ali';
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Algerian Journal of Signals and Systems ; Vol. 2 No. 1 (2017); 12-20]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v2i1]]>
Laboratory of Signals and Systems, Algeria]]>
2017-03-15]]>
Copyright (c) 2017 Naceur AOUNALLAH, Ali KHALFA]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/28/16]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/28]]>
10.51485/ajss.v2i1.28]]>