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var str = 'Risk Analysis Using HAZOP -Fault Tree - Event Tree Methodology Case Study: Naphta Stabilizer-A Reflux Drum (LPG separation) in RA1K';
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]]>
risk analysis]]>
HAZOP]]>
Fault tree]]>
Event Tree]]>
Stabilizer reflux drum]]>
The purpose of this work is the risk assessment of a stabilizer reflux drum using HAZOP - Fault tree - Event tree approach. This risk assessment approach aims first of all to identify potential accident scenarios using Hazard an Operability study (HAZOP), these scenarios need more detailed frequencies estimation, it is performed thanks to fault tree analysis. Then, to analyze events issuing after success or fail of safety barriers, the event tree is used. Finally, in order to better appreciate accident scenarios, ALOHA is utilized to simulate them.]]>
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var str = 'Bouasla, Seif El Islam';
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]]>
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var str = 'ZENNIR, Youcef';
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]]>
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var str = 'MECHHOUD, El-Arkam';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 2 (2020); 98-105]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i2]]>
Laboratory of Signals and Systems, Algeria]]>
2020-06-15]]>
Copyright (c) 2020 Seif El Islam Bouasla, Youcef ZENNIR, El-Arkam MECHHOUD]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/103/86]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/103]]>
10.51485/ajss.v5i2.103]]>
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var str = 'Particle Swarm Optimization for tuning a Fuzzy Supervisory Controller Parameters (Takagi Seguno and Mamdani Engines)';
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]]>
Boiler]]>
fuzzy supervisory]]>
PID Controller]]>
Particle Swarm Opitimization Algorithm]]>
Steam generation systems are a crucial part of most power plants. Therefore, boiler control is an important problem for power plants that are frequently changing load or subject to sudden load disturbances, which are common in current market driven electricity industry. Hence, the control of such processes needs the design of more effective controllers. Although Fuzzy logic controllers seem more adequate for controlling chemical processes, since they provides solutions to incompletely defined and nonlinear processes industrials does not prefer such type of controllers since the tuning of these controllers requires the adjustment of a large number of parameters, which is tedious. The fact that let the industrials prefer the use of simple PID controllers rather than complicated fuzzy or neural controllers. Hence in this paper a simple PD controller is used to control the steam flow parameters of whereas its parameters are deduced using fuzzy supervisory controller the parameters of the supervisory controller are optimized using particle swarm optimization algorithm, the most known inference Engines SEGUNO and MAMDANI are considered.]]>
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var str = 'BENDIB, Riad';
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]]>
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var str = 'HAMMADI, Youcef';
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]]>
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var str = 'MAZOUZI, Mohammed';
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]]>
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var str = 'MECHHOUD, Elarkam';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 2 (2020); 92-97]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i2]]>
Laboratory of Signals and Systems, Algeria]]>
2020-06-15]]>
Copyright (c) 2020 Riad BENDIB, Youcef HAMMADI, Mohammed MAZOUZI, Elarkam MECHHOUD]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/102/85]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/102]]>
10.51485/ajss.v5i2.102]]>
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var str = 'Simulation and Analysis of a Petrochemical Process (Deethanizer Column- MLE field) using HYSYS Aspen Simulator';
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]]>
natural gas processing]]>
deethanizer]]>
simulation]]>
HYSYS simulator]]>
Natural gas industry has a great strategic and economic importance; it becomes one of the most attractive business opportunities in the petroleum and petrochemical field. In order to produce high quality gas, many companies all over the world including Algeria create many plants for natural gas processing to clean raw natural gas, by using separation unites and other services to get a product that respect the commercial specifications. Natural gas fractions are separated by distillation column in our case is called deethanizer tower. In this work a dynamic simulation study of deethanizer column is developed and implemented in HYSYS simulator. Simulation results prove that the HYSYS is a powerful tool to simulate industrial processes such that the simulated results are close to the real ones.]]>
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var str = 'BELHOCINE, Amel';
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]]>
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var str = 'BENDIB, Riad';
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]]>
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var str = 'ZENNIR, Youcef';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 2 (2020); 86-91]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i2]]>
Laboratory of Signals and Systems, Algeria]]>
2020-06-15]]>
Copyright (c) 2020 Amel BELHOCINE, Riad BENDIB, Youcef ZENNIR]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/101/84]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/101]]>
10.51485/ajss.v5i2.101]]>
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var str = 'A New Approach to System Safety of human- multi-robot mobile system control with STPA and FTA';
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]]>
Hazard Analysis]]>
STPA]]>
FTA]]>
Collaborative multi-mobile robots]]>
Autonomous Mobile multi-robots are among the most complex systems in their control. Especially when those robots navigate in hazardous and dynamic environments such as chemical analysis laboratories which include dangerous and harmful products (poisonous, flammable, explosive ...). This study deals the safety problem in a robotic analysis laboratory and investigates the possibility to use those autonomous multi-robots in such environments with the presence of human workers without serious hazards. We used a systems-theoretic hazard analysis technique (STPA) in addition to fault tree analysis to identify the potential safety hazard scenarios, their causal factors and we conclude by a set of recommendations. Keywords: Hazard Analysis, STPA, FTA, Collaborative multi-mobile robots.]]>
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var str = 'BENSACI, Chaima';
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]]>
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var str = 'ZENNIR, Youcef';
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]]>
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var str = 'POMORSKI, Denis';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 79-85]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Chaima BENSACI, Youcef ZENNIR, Denis POMORSKI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/100/83]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/100]]>
10.51485/ajss.v5i1.100]]>
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var str = 'A New Design Method for Fractional Order Proportional Integral (FO-PI) Controller of 3x3 Multivariable Systems';
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]]>
Fractional order (FO-PI) Controller]]>
3x3 Multivariable System]]>
Diffusive representation]]>
This paper presents a new design method of Fractional Order Proportional Integral Controller (FO-PI) for 3x3 multivariable system (three-input-three-output). The Optimal parameters of the FO-PI controllers are tuning by minimizing performance index criterion as objective function. The irrational transfer function of the fractional operator is performed by means of diffusive representation and allows to formulate the optimization problem as a function of fractional order. The simulation results show that the performance of the response obtained by diffusive approach -based FO-PI are better than whose obtained by the classical controllers.]]>
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var str = 'LAIFA, Sami';
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]]>
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var str = 'BOUDJEHEM, Badreddine';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 73-78]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Sami LAIFA, Badreddine BOUDJEHEM]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/99/82]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/99]]>
10.51485/ajss.v5i1.99]]>
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var str = 'Design and Simulation of Graphical User interface for Cables Parallel Robot';
document.write(linkifyHtml(str, options));
]]>
Cable parallel robot]]>
Control Simulation]]>
modelling]]>
GUI]]>
In this paper, we have presented the 3D cables parallel robot in pyramid’s form. The dynamic equation has been established including the dynamic behavior, in this context; we investigated to use the Runge Kutta method of 4th order to solving non-linear partial differential equation of our system. The main contribution of this work is firstly: a graphical user interface (GUI) has been developed and implemented based on the geometric model, in order to visualizing the position of end effect or, taking account model uncertainties and payload variation. Secondly, we have studied and solved our system’s dynamical equation with implementation the PD control. This last, applied for different trajectories so as to test the accurate tracking the desired trajectory simulation using MATLAB software. As a result, the simulation tests on this robot verify the efficiency performance of the proposed controller.]]>
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var str = 'INEL, F.';
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]]>
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var str = 'ZENNIR, Y.';
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]]>
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var str = 'ADLENE, R.';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 66-72]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 F. INEL, Y. ZENNIR, R. ADLENE]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/98/81]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/98]]>
10.51485/ajss.v5i1.98]]>
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var str = 'Novel Fractional order Integrators Using Traditional Rules Interpolation';
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]]>
Digital integrators]]>
Fractional order integrators]]>
Impulse invariant method]]>
Euler-bilinear-Simpson integrator]]>
Steiglitz-Mc-bride]]>
This work proposes a new IIR integer order digital, so a new IIR fractional order integrators. The followed method includes two stages. First, the integer order integrator is obtained by interpolating well-known integration rulesnamely, Euler, bilinear and Simpsonas a weighted sum. Second the initial value theorem for the selection of initial value of the impulse response is used. Lastlythe Steiglitz-Mc-bride signal modeling technique is applied to find the parameters of rational approximation models. Numerical examples are presented to illustrate the performance of the proposed integrator. It was found that the Euler-bilinear-Simpson integrator yields high accuracy than the existing integrators.]]>
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};
var str = 'MEKHNACHE, Chafia';
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]]>
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var str = 'BALASKA, Nawel';
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]]>
var options = {
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var str = 'DETOUCHE, Nedjma';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 58-65]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Chafia MEKHNACHE, Nawel BALASKA, Nedjma DETOUCHE]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/97/80]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/97]]>
10.51485/ajss.v5i1.97]]>
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var str = 'Integrated RMA with FMECA analysis using a graphical inteface: case study recycling iso-butane pump (CP2K)';
document.write(linkifyHtml(str, options));
]]>
Risk analysis]]>
FMECA]]>
HDPE]]>
RMA]]>
Automated risk analysis]]>
The objective of our work is the implementation of a new approach for the dependability enhancement of a recycling iso-butane pump (Skikda CP2K petrochemical plant) based on automateddependability analysis system including the automation of the RMA (Reliability, Maintainability, Availability) study and FMECA (Failure Mode Effect and Criticality Analysis) method. After the system description, we present briefly the principle of the automated method. The system analysis in degraded mode is realized by using FMECA method. This automated analysis brings out the different failure modes, their causes and their consequences of each component. The result is risks minimization and reliability enhancement of the considered system.]]>
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var str = 'MECHHOUD, El-Arkam';
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]]>
var options = {
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var str = 'BENDIB, Riad';
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]]>
var options = {
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var str = 'ZENNIR, Youcef';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 53-57]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 El-Arkam MECHHOUD, Riad BENDIB, Youcef ZENNIR]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/96/79]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/96]]>
10.51485/ajss.v5i1.96]]>
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var str = 'Evaluation of safety barriers deduced from the HAZOP study of fired heater F201-101, ADRAR refinery, Algeria using ETA method';
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]]>
Safety]]>
probabilistic risk assessment]]>
outcome frequency]]>
event tree analysis]]>
This paper described the method of event tree analysis that is commonly used to identify, characterize and estimate the risk. Quantitative estimates for probability of breach or failure and the resulting consequences can be obtained using event trees. Qualitative depictions of potential failure modes and consequences can also be developed using event trees. An event tree analysis (ETA) is an inductive procedure that shows all possible outcomes resulting from an accidental (initiating) event. An event tree consists of a sequence of interconnected nodes and branches. Each node defines a random variable that represents an uncertain event or state of nature. Branches originating from a node represent each of branches to represent the likelihood for each event or condition. These probabilities are conditional on the occurrence of the preceding events to the left in the tree. Our work includes a HAZOP study to determine the necessary safety barriers as a first step. And as a second step is their evaluation using ETA method of fired heater F201-101, ADRAR refinery, Algeria. This particular method is well suited to estimating the risk stemming from process plant failure. Neither the initiators of industrial accidents nor the layers of protection that prevent them are typically complex, that is, they do not usually require analysis by redundant systems or the time for on-line repair. Thus, they can be accurately characterized with the probability multiplication methods that from the basis of event tree analysis.]]>
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var str = 'Naoual, BATOUT';
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]]>
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var str = 'BENDIB, Riad';
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var str = 'ZENNIR, Youcef';
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Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 47-52]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 BATOUT Naoual, Riad BENDIB, Youcef ZENNIR]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/95/78]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/95]]>
10.51485/ajss.v5i1.95]]>
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var str = 'Robust MRAC-based adaptive control of a Doubly Fed Induction Generator (DFIG) in a Wind energy system using a fractional order Integrator';
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]]>
Doubly fed induction generator (DFIG)]]>
Renewable energy]]>
MRAC]]>
FOMRAC]]>
Robustness]]>
This paper presents a robust control of doubly fed induction generator for wind generation system. The whole system is presented in d-q-synchronous reference frame. We propose the implementation of adaptive control with integer model reference MRAC, fractional model reference FOMRAC with integer and fractional order control law design for active and reactive power supervision control in the doubly fed induction generator (DFIG) for wind energy systems. The objective is to realize a comparative study between the classical regulator MRAC and the proposed FO-MRAC with integer and fractional order control law in order to demonstrate the robustness of the fractional order adaptive control with fractional order integral in control law comparatively to integer order one. Performance and robustness results obtained will be presented and analyzed.]]>
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var str = 'Djebbri, Sihem';
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var str = 'Balaska, Hanane';
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var str = 'LADACI, Samir';
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]]>
Algerian Journal of Signals and Systems ; Vol. 5 No. 1 (2020); 40-46]]>
2676-1548]]>
2543-3792]]>
10.51485/ajss.v5i1]]>
Laboratory of Signals and Systems, Algeria]]>
2020-03-15]]>
Copyright (c) 2020 Sihem Djebbri, Hanane Balaska, Samir LADACI]]>
https://creativecommons.org/licenses/by-nc/4.0]]>
https://ajss.dz/index.php/ajss/article/view/94/77]]>
application/pdf]]>
eng]]>
info:eu-repo/semantics/article]]>
info:eu-repo/semantics/publishedVersion]]>
Peer-reviewed Article]]>
https://ajss.dz/index.php/ajss/article/view/94]]>
10.51485/ajss.v5i1.94]]>