Publications Scientifiques

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    Dependability analysis in systems engineering approach using the FMECA extracted from the SysML and failure modes classification by K-means
    (Springer, 2021) Chabane, Ali; Adjerid, Smail; Meddour, Ikhlas
    The work presented in this article is a contribution to the implementation of an approach dedicated to the behavioral analysis of industrial systems starting from the design Maintenance engineering techniques inspire the suggested approach, and it aims at deducing and classifying the industrial systems' probable failure modes. The latter modes can alter the systems proper functioning. Our suggested approach is a combination of three complementary tools. The SysML language is applied to express customers' needs and requirements, such as future systems' functions and operating conditions. Besides, the FMECA method analyzes systems' potential dysfunction and the recommendation of appropriate maintenance actions. Finally, the K-means method classifies failure modes to get detailed mode criticality instead of calculating this latter according to ancient methods. The result will objectively make it possible to develop systems with reliable and maintainable components. It also helps to recommend optimal maintenance strategies according to the equipment evolution state. The approach is carried out through two application cases. The first is a practical and straightforward system used to check the methods feasibility, and the second is a more elaborated one, used to observe the effectiveness of the approach
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    Contribution to The Reliability Study of Photovoltaic Systems Using Static and Dynamic Analysis Methods
    (Inderscience, 2019) Mahdi, Ismahan; Nadji, Bouchra; Simeu-Abazi, Zineb
    The study of reliability has not been received great attention from researchers, an estimation of a lifetime and why not improve enhance is still possible. For that, it is necessary to distinguish the different failure modes, their causes and their effects on solar modules, in our case composed by Silicon, the most spread technology and the most used in the production of electricity. In this article, we will present a contribution to the reliability study of photovoltaic systems. First, the study will be focused on the static analysis of our system by using: structured analysis and design technique and function analysis system technique methods, which make it possible to carry out a functional analysis of our system. Next, our study will be based on the dynamic analysis by using: failure mode, effects, and criticality analysis, fault tree analysis and finally stochastic Petri nets methods. These allow making a dysfunctional analysis of the system by introducing the ‘time’ which is a very important factor in our study
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    Reliability assessment and improvement of medium power induction motor winding insulation protection system using predictive analysis
    (Springer, 2009) Chafai, M.; Refoufi, L.; Bentarzi, Hamid
    This chapter presents a reliability assessment of a widely used protection system of medium-power squirrel cage induction motors. In conjunction with published field induction motors reliability data, this assessment effort is based on a predictive analysis integrating three predictive techniques: (1) a fault tree analysis (FTA) that allows to identify and then quantify the initiating events weighting factors; (2) an event tree analysis (ETA) that allows to predict the protection system probability outcomes following an external disturbance; and (3) a failure mode effect and criticality analysis (FMECA) that will help set the stage to develop a preventive maintenance program fit to keep up the induction motor protection system reliability at the required level with particular attention given to aggressive environmental factors such as found in cement plants