Browsing by Author "Smail Adjerid"

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    Bond graph Model-Based Methods for Fault Diagnosis: A Comparative Study
    (University of Eloued, 2019-02-24) Yacine Lounici; Youcef Touati; Smail Adjerid
    Advanced methods of fault diagnosis become increasingly significant for improving the safety, reliability and efficiently of dynamic systems in various domains of industrial engineering. This paper reviews and compares between three bond graph model-based methods for fault diagnosis. These methods are causality inversion method, augmented Analytical redundancy relation method, and fault/residual sensitivity relation method. These methods are applied on a simulation model of an electrical system. This latter is used to simulate the system variables in both normal and faulty situations and to generate residuals for fault detection and isolation. The results of the case study are compared for highlighting the fault diagnosis performance of a method over another. The result show that the fault/residual sensitivity relation method has batter diagnosis performance when compared to the other methods
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    Overall Reliability Optimization of a Production System
    (University of Eloued, 2019-02-24) Billal Nazim Chebouba; Mohamed Arezki Mellal; Smail Adjerid
    At the present time, the competitiveness in the industrial world became more and more harsh, which requires that the system must be as reliable as possible. In most of the optimization problems, hard fitness functions are considered. These functions cannot be solved by the traditional mathematical methods. An alternative solution to the conventional approaches is the use of meta-heuristic optimization techniques, due to their ability to obtain global or near-global optimum solutions. In the present paper, we address the overall system reliabilityredundancy allocation optimization problem of a production system (pharmaceutical production line), using a powerful algorithm called the Stochastic Fractal Search (SFS). The constraints of the problem are handled by resorting to the penalty function method