Publications Internationales
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Item Vieillissement et Obsolescence des équipements industriels : Traitement Fiabiliste et Management de la Maintenance(IEEE, 2021) Chabane, Ali; Adjerid, Smail; Alem, Said; Aggad, mayaCet 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.Item 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 NazimThis 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 strategyItem 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, IkhlasThe 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 approachItem Development of a New Strategy to Extract Dangerous Scenarios from Petrochemical Industry Installation(Springer, 2020) Aggad, Maya; Adjerid, Smail; Benazzouz, DjamelThe 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.Item Uncertain fault estimation using bicausal bond graph : application to intelligent autonomous vehicle(SAGE, 2020) Lounici, Yacine; Touati, Youcef; Adjerid, SmailThis article addresses the fault detection and isolation problem of uncertain systems using the bond graph model–based approach. The latter provides through its causal and structural properties an automatic analytical redundancy relations generation. The numerical evaluation of analytical redundancy relations yields residuals, which are used to verify the coherence between the real system and reference behaviors describing the nominal operation. In fact, the residual is compared to its thresholds to detect the fault. In addition, the comparison between all fault signatures allows making a decision on fault isolation. Moreover, to isolate the faults that activate the same set of residuals, an additional residual must be calculated for each fault. This additional residual is the comparison between two estimations of the considered fault obtained using the sensitivity relations. However, due to the presence of uncertainties, errors can occur in the fault estimation allowing false decisions on fault isolation. The novelties and innovative interests in the present work are (1) to improve the fault estimation procedure based on the uncertainties modeling and bicausality notion, in order to overcome the problem related to errors in the estimated fault and (2) to suitably generate the isolation thresholds in a systematic way using the uncertain fault estimation procedure proposed in this article so that fault can be isolated successfully. The proposed methodology is studied under various scenarios via simulations over an electromechanical traction system corresponding to a quarter of intelligent autonomous vehicle, named RobuCarItem 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, EdwardItem Modelling and simulation of mechatronic system to integrated design of supervision : using a bond graph approach(2011) Mellal, Mohamed Arezki; Adjerid, Smail; Benazzouz, DjamelThe 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 functionItem Back propagation algorithm used for tuning parameters of ANN to supervise a compressor in a pharmachimical industry(2012) Benazzouz, D.; Amrani, M.; Adjerid, SmailThis 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 10-3Item Performance evaluation and optimisation of industrial system in a dynamic maintenance(Scientific & Academic Publishing, 2012) Adjerid, Smail; Aggab, Toufik; Benazzouz, DjamelDespite 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 applicationsItem 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