Publications Internationales

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/13

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Author: search.filters.author.Adjerid, SmailHas files: Yes

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    Vieillissement et Obsolescence des équipements industriels : Traitement Fiabiliste et Management de la Maintenance
    (IEEE, 2021) Chabane, Ali; Adjerid, Smail; Alem, Said; Aggad, maya
    Cet article considère le problème du vieillissement et de l’obsolescence dans le management de la maintenance. La stratégie de maintenance a des répercussions directes sur l’exploitation d’un système, la production et les charges financières. L’objectif de ce travail est d’apporter une contribution à l’analyse de l’obsolescence et du vieillissement des composants d’un véhicule industriel utilisés par la Société COSIDER. Les résultats de ce travail montrent les vieillissements rapides qui apparaissent pendant le cycle de vie du véhicule, et montrent l’importance du choix des équipements et des pièces de rechange pour réduire le taux de défiance. Mots-clés : maintenance industrielle, Stratégie de la maintenance, Sûreté de fonctionnement, vieillissement des équipements industriels, Obsolescence des équipements industriels.
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    A novel fault-tolerant control strategy based on inverse bicausal bond graph model in linear fractional transformation
    (SAGE Publications, 2021) Lounici, Yacine; Touati, Youcef; Adjerid, Smail; Benazzouz, Djamel; Chebouba, Billal Nazim
    This article presents the development of a novel fault-tolerant control strategy. For this task, a bicausal bond graph model-based scheme is designed to generate online information to the inverse controller about the faults estimation. Secondly, a new approach is proposed for the fault-tolerant control based on the inverse bicausal bond graph in linear fractional transformation form. However, because of the time delay for fault estimation, the PI controller is used to reduce the error before the fault is estimated. Hence, the required input that compensates the fault is the sum of the control signal delivered by the PI controller and the control signal resulting from the inverse bicausal bond graph for fast fault compensation and for maintaining the control objectives. The novelties of the proposed approach are: (1) to exploit the power concept of the bond graph by feeding the power generated by the fault in the inverse model (2) to suitably combining the inverse bicausal bond graph with the PI feedback controller so that the proposed strategy can compensate for the fault with a very short time delay and stabilize the desired output. Finally, the experimental results illustrate the efficiency of the proposed strategy
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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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    Development of a New Strategy to Extract Dangerous Scenarios from Petrochemical Industry Installation
    (Springer, 2020) Aggad, Maya; Adjerid, Smail; Benazzouz, Djamel
    The use of Petri net reachability graph remains one of themost popular methods to extract critical scenarios that lead the system to a dangerous state. However, in complex systems, explosion states space and confusion between causality and precedence relationship between events are the two major limits making reachability graph inefficient to perform such analysis. In the last decade, the first limitation was tackled by an approach that uses the Petri net structure. It considers only the last normal state and ignores the rest of the network. Nevertheless, no research work appears in the literature, to consider the second limitation. In this sense, this paper proposes a novel approach based on Petri net and linear logic, to overcome the two limits. To prove the effectiveness of this proposal, the approach was applied on a petrochemical installation consisting of a cooling flammable fluids storage bins system. The obtained results are compared with the two existing approaches, the first using reachability graph and the second using the Petri net structure. The new proposed approach has shown higher performances compared to the previously mentioned methods.
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    Obsolescence optimization of electronic and mechatronic components by considering dependability and energy consumption
    (Springer, 2013) Mellal, Mohamed Arezki; Adjerid, Smail; Benazzouz, Djamel; Berrazouane, Sofiane; Williams, Edward
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    Modelling and simulation of mechatronic system to integrated design of supervision : using a bond graph approach
    (2011) Mellal, Mohamed Arezki; Adjerid, Smail; Benazzouz, Djamel
    The research in mechatronics focuses on the design and implementation of reliable, secure and economic systems. Our study is to modeling the operative part of a CNC machine using a bond graph approach with optimal placement of sensors in order to achieve a model for an integrated design of supervision. The proposed model allows a conception technically feasible and economically realizable to be integrated into production lines. The generation of analytical redundancy relations can find the FDI (Fault Detection and Isolation) matrix, that optimizes the maintenance function
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    Back propagation algorithm used for tuning parameters of ANN to supervise a compressor in a pharmachimical industry
    (2012) Benazzouz, D.; Amrani, M.; Adjerid, Smail
    This paper presents the retro-propagation algorithm for tuning the parameter of Artificial Neural Networks used by pharmachemical industry. The obtained numerical test results on lubrication and air circuits shown that the proposal improves the performance in terms of number of iterations and reliability of the models. BEKER Laboratories production line, is a Pharmaceutical production company located at Dar El Beida (Algiers-Algeria), was kept as the main target of this study. After careful inspection, the weakest and the strongest points of the system were identified and the most strategic equipment within the line (the compressor) was taken as the equipment of focus. From this specific point, failure simulations are most adequate and from this selected target, the designed system will be better positioned for failure detection during the production process. The efficiency of this approach is its fast learning, and its accuracy of detecting failure which is of the order of 10-3
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    Performance evaluation and optimisation of industrial system in a dynamic maintenance
    (Scientific & Academic Publishing, 2012) Adjerid, Smail; Aggab, Toufik; Benazzouz, Djamel
    Despite the existence of the multitude of behavioral analysis tools for industrial systems, increasingly complex, managers to date find difficulties to define maintenance strategies able to significantly improve the overall performance of companies in terms of production, quality, safety and environment. A static maintenance and not adapted to the evolution of the state system does not meet the expectations of industrialists. However, the behavior of any degradable system is closely related to the state of its components. This random influence is not always sufficiently considered for various reasons, consequently any decision making remains subjective. Our approach based on dynamic Bayesian networks (DBN) consists has the modeling of the system and the functional dependencies of its components. The results obtained then, after the introduction in the model of the most appropriate actions of maintenance show all the importance of this technique and the possible applications
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    Optimal replacement policy for obsolete components using cuckoo optimization algorithm based-approach : dependability context
    (NISCAIR-CSIR, India, 2012) Mellal, Mohamed Arezki; Adjerid, Smail; Williams, Edward J.; Benazzouz, Djamel
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    Optimal policy for the replacement of industrial systems subject to technological obsolescence using genetic algorithm
    (2013) Mellal, Mohamed Arezki; Adjerid, Smail; Benazzouz, Djamel; Berrazouane, Sofiane; Williams, Edward J.
    The technological obsolescence of industrial systems is characterized by the existence of challenger units possessing identical functionalities but with improved performance. This paper aims to define a new approach that makes it possible to obtain the optimal number of obsolete industrial systems which should be replaced by new-type units. This approach presents a new point of view compared with previous works available in the literature. The main idea and the originality of our approach is that we apply a genetic algorithm (GA) by considering the failure frequency, the influence of the environment/safety factors of the old-type systems and the purchase/implementation cost of the new-type units. These parameters are introduced in order to optimize this type of replacement in the context of engineering