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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]]>
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var str = 'Remaining useful life prediction of cutting tools using wavelet packet transform and extreme learning machine';
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]]>
Feature extraction]]>
Prognostic]]>
ELM]]>
WPT]]>
RUL]]>
Online tool wear prediction is a determining factor to the success of smart manufacturing operations. The implementation of sensors based Prognostic and Health Management (PHM) system plays an important role in estimating Remaining Useful Life (RUL) of cutting tools and optimizing the usage of Computer Numerically Controlled (CNC) machines. The present paper deals with health assessment and RUL estimation of the cutting tool machines based on Wavelet Packet Transform (WPT) and Extreme Learning Machine (ELM). This approach is done in two phases: a learning (offline) phase and a testing (online) phase. During the first phase, the WPT is used to extract the relevant features of raw data computed in the form of nodes energy. The extracted features are then fed to the learning algorithm ELM in order to build an offline model. In the online phase, the constructed model is exploited for assessing and predicting the RUL of cutting tool. The main idea is that ELM involves nonlinear regression in a high dimensional feature space for mapping the input data via a nonlinear function to build a prognostics model. The method was applied to real world data gathered during several cuts of a milling CNC tool. The performance of the proposed method is evaluated through the accuracy metric. Results showed the significance performances achieved by the WPT and ELM for early detection and accurate prediction of the monitored cutting tools.]]>
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var str = 'Laddada , S.';
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]]>
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var str = 'Benkedjouh, T.';
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var str = 'Si- Chaib, M. O.';
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]]>
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var str = 'DRAI, R.';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 4 (2018); 156-165]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i4]]>
Laboratory of Signals and Systems, Algeria]]>
2018-12-15]]>
Copyright (c) 2018 S. Laddada , T. Benkedjouh, M. O. Si- Chaib, R. DRAI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/72/58]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/72]]>
10.51485/ajss.v3i4.72]]>
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var str = 'TCR Antenna For Small Satellite Application';
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]]>
Tracking Command Ranging]]>
small satellite]]>
Ku-band]]>
Omni Antenna]]>
The results of this study are interesting about antenna technology generation used in small satellite. A new design optimized of the TCR (tracking, command and ranging) antenna has been presented. It has a good impedance matching to the 50 Ohm coaxial line which has been radically enhanced with different geometric features. For the Ku band frequency band, the VSWR of 1.15 is not exceeded. In its optimized version, it is compact and aesthetic and this property reduces antenna distortions. Design considerations for this antenna performance in terms of coverage gain, side lobe isolation, and cross-polar isolation are discussed. The paper also discusses the possibilities of extending the frequency coverage of the antenna system into the Ku-band system can increase the capabilities and operational flexibility of existing earth stations as well as adapts with new current and future technology trends are presented.]]>
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var str = 'KOURDI, Z.';
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]]>
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var str = 'KARA ALI, O.';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 4 (2018); 151-155]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i4]]>
Laboratory of Signals and Systems, Algeria]]>
2018-12-15]]>
Copyright (c) 2018 Z. KOURDI, O. KARA ALI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/71/57]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/71]]>
10.51485/ajss.v3i4.71]]>
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var str = 'Diagnosis of the Induction Machine Using Advanced Signal Processing Methods';
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]]>
Modeling]]>
Induction Motor]]>
Rotor Defect]]>
Extended Kalman Filter]]>
This work is a part of the thematic of monitoring and fault diagnosis of the squirrel cage three-phase induction machine. The choice of this type of machine is justified by the growing success it has exhibited, mainly, in the electric drives with variable speed. Signal based detection methods are presented is validated in simulation. The proposed diagnosis approach requires only little experimental data, and more importantly it provides efficient simulation tools that allow characterizing faulty behavior.In this study, the proposed approach considers the value of rotor resistance as fixed for condition monitoring. This value in the diagnostic tools which one uses is not fixed contrary to the classical approaches of control of machine.]]>
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var str = 'CHAHMI, Abdelghani';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 3 (2018); 143-150]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i3]]>
Laboratory of Signals and Systems, Algeria]]>
2018-09-15]]>
Copyright (c) 2018 Abdelghani CHAHMI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/70/56]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/70]]>
10.51485/ajss.v3i3.70]]>
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var str = 'Nonlinear Backstepping Control of Permanent Magnet Synchronous Motor with Rotor Speed and Position Estimation';
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]]>
Permanent magnet synchronous motor (PMSM)]]>
nonlinear backstepping control]]>
sensorless control]]>
Extended Kalman filter(EKF)]]>
Matlab-Simulink]]>
This paper presents a nonlinear backstepping control strategy used to ensure good dynamic behavior, high performance and the stability of the permanent magnet synchronous motor (PMSM). However, this control requires the precise knowledge of certain variables (speed, torque and position) that are difficult to access or sensors require additional mounting space, reduce reliability, increase the cost of the engine, and make maintenance difficult. Thus, an Extended Kalman Filter (EKF) approach is proposed for the estimation of speed and rotor position in the PMSM. The interesting simulation results obtained which are subjected to the load perturbation show very well the efficiency and the good performance of the nonlinear feedback control proposed and simulated in Matlab-Simulink.]]>
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var str = 'KIRAD, Abderrahmen';
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]]>
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var str = 'Grouni, Said';
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]]>
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var str = 'MECHALI, Omar';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 3 (2018); 133-142]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i3]]>
Laboratory of Signals and Systems, Algeria]]>
2018-09-15]]>
Copyright (c) 2018 Abderrahmen KIRAD, Said Grouni, Omar MECHALI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/69/55]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/69]]>
10.51485/ajss.v3i3.69]]>
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var str = 'Combining MUSIC Spatial Sampling and Bootstrap to Estimate Closed Space DOA for Few Samples';
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]]>
DOA]]>
Array processing]]>
spatial sampling]]>
MUSIC method]]>
Bootstrap technique]]>
DOA estimation in array processing uses MUSIC (Multiple Signal Classification) algorithm, mainly. It’s the most investigated technique and is very attractive because of its simplicity. However, it meets drawbacks and fails when only very few samples are available and the sources are very close or highly correlated. In these conditions, the problem is more intricate and the detection of targets becomes arduous. To overcome these problems, a new algorithm is developed in this paper. We combine bootstrap technique to increase sample size, spatial sampling and MUSIC method to improve resolution. Through different simulations, the performance and the effectiveness of the proposed approach, referred as spatial Sampling and Bootstrapped technique ‘’SSBoot’’, are demonstrated.]]>
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var str = 'HADJ IRID, SIDI MOHAMMED';
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]]>
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var str = 'KAMECHE, SAMIR';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 3 (2018); 125-132]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i3]]>
Laboratory of Signals and Systems, Algeria]]>
2018-09-15]]>
Copyright (c) 2018 SIDI MOHAMMED HADJ IRID, SAMIR KAMECHE]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/68/54]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/68]]>
10.51485/ajss.v3i3.68]]>
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var str = 'Emulation of metamaterial waveguides';
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]]>
Metamaterial]]>
Waveguides]]>
Refractive index,]]>
Dispersion diagram]]>
Metamaterial waveguides]]>
In this work, we are interested by emulating metamaterial microwave waveguides which behave like conventional metallic ones. We use metamaterial layers based on two types of unit cells. The first one is a connected cross type unit cell which leads to a metamaterial with a near zero refraction index (n1≈ 0). The second one is a disconnected cross type unit cell which leads to a metamaterial with a refraction index greater than unity (n2 >1). With these two type of metamaterials we can define, in the metamaterial layer, different sections each one can have a refraction index equal to n1 or n2. Using these metamaterial layers we can build a metamaterial waveguide. This latter is obtained by stacking a number of layers. The waveguide is obtained by selecting an inner section with a refraction index n2 and an outer section with a refraction index n1 close to zero which plays a similar role as a metallic reflector to form the waveguide.]]>
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var str = 'BOURAS, Khedidja';
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]]>
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var str = 'LABIAD, Abdelhadi';
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]]>
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var str = 'SALEH, Chaker';
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]]>
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var str = 'BOUZOUAD, Mouloud';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 3 (2018); 117-124]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i3]]>
Laboratory of Signals and Systems, Algeria]]>
2018-09-15]]>
Copyright (c) 2018 Khedidja BOURAS, Abdelhadi LABIAD, Chaker SALEH, Mouloud BOUZOUAD]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/67/53]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/67]]>
10.51485/ajss.v3i3.67]]>
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var str = 'Broken Rotor Bars Fault Detection Based on Envelope Analysis Spectrum and Neural Network in Induction Motors';
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]]>
Induction motors]]>
Broken rotor bars]]>
Faults detection]]>
Envelope analysis]]>
Neural networks]]>
In this paper, a study has presented the performance of a neural networks technique to detect the broken rotor bars (BRBs) fault in induction motors (IMs). In this context, the fast Fourier transform (FFT) applied on Hilbert modulus obtained via the stator current signal has been used as a diagnostic signal to replace the FFT classic, the characteristics frequency are selected from the Hilbert modulus spectrum, in addition, the different load conditions are used as three inputs data for the neural networks. The efficiency of the proposed method is verified by simulation in MATLAB environment.]]>
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var str = 'BENSAOUCHA, Saddam';
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]]>
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var str = 'BESSEDIK, Sid Ahmed';
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]]>
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var str = 'AMEUR, Aissa';
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]]>
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var str = 'SEGHIOUR, Abdellatif';
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]]>
Algerian Journal of Signals and Systems ; Vol. 3 No. 3 (2018); 106-116]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i3]]>
Laboratory of Signals and Systems, Algeria]]>
2018-09-15]]>
Copyright (c) 2018 Saddam BENSAOUCHA, Sid Ahmed BESSEDIK, Aissa AMEUR, Abdellatif SEGHIOUR]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/66/52]]>
application/pdf]]>
eng]]>
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Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/66]]>
10.51485/ajss.v3i3.66]]>
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var str = 'Three-phase Three-level Inverter Grid-tied PV System with Fuzzy Logic Control based MPPT';
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Fuzzy logic MPPT controller]]>
Three-level T-type inverter]]>
photovoltaic generator]]>
grid connection]]>
power quality]]>
This paper presents a three phase single stage grid connected photovoltaic PV system. Maximum power transfer from the solar array to grid is ensured by using fuzzy logic (FL) based maximum power point tracking (MPPT) controller. The proposed MPPT technique provides fast and high performances under variable climate conditions as well as sudden variation of irradiance level. Change of measured photovoltaic power and its rate of change are the input variables of the proposed fuzzy logic controller while the change in reference current is defined as the output variable. In order to meet the power quality required by the international standards, a Space Vector Modulation (SVM) controlled three-level T-type inverter and a series LCL filter are used. To show the effectiveness of the proposed grid-connected system, Matlab/Simulink software is used to carry out the simulation part. Obtained results show the role of each component, particularly the response of the maximum power tracking, the quality of the injected power, the unity power factor operation and the system’s efficiency.]]>
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var str = 'AYACHI AMOR, Yacine';
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var str = 'HAMOUDI, Frid';
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var str = 'KHELDOUN, Aissa';
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Algerian Journal of Signals and Systems ; Vol. 3 No. 3 (2018); 96-105]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v3i3]]>
Laboratory of Signals and Systems, Algeria]]>
2018-09-15]]>
Copyright (c) 2018 Yacine AYACHI AMOR, Frid HAMOUDI, Aissa KHELDOUN]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/65/51]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/65]]>
10.51485/ajss.v3i3.65]]>