Tesis sobre el tema "Approche MBSE"
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Borchani, Mohamed. "Approche d’ingénierie systèmes pour l’intégration de la fabricabilité dans le processus de conception des systèmes mécatroniques". Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLC043/document.
Texto completoThe originality of our work is to develop an approach that integrates model-based systems engineering (MBSE) with the principles of the SBCE approach to reduce iterative loops between inexperienced designers, manufacturers, and experts. Other stakeholders are also involved in product development to ensure simultaneous engineering environment. This approach offers great potential for managing manufacturability and reliability aspects, due to the ability to develop parallel knowledge, especially for advanced and non-mature technologies. The advantage of using SBCE principles is to provide opportunities for communication between stakeholders early in the design phase. SysML is used as a descriptive language to represent the different phases of this approach. To study the robustness of these systems, we have developed a model called "Model Based for Robustness Analysis" (MBRA) which aims to filter low or expensive solutions over time and to assist the system engineer when adopting a trade-offs study. For the assessment of the manufacturability of complex systems, we have developed another model entitled "Model Based for Manufacturability analysis"
Ammar, Randa. "Approche de co-développement pour l’intégration des modèles des produits mécatroniques avec les modèles des systèmes de production". Thesis, CY Cergy Paris Université, 2020. http://www.theses.fr/2020CYUN1107.
Texto completoEngineered products in the era of Industry 4.0 are constrained to be more compact, smart and efficient. Manufacturing companies are today forced to adapt their production systems with constant and unexpected changes in the customer requirements to face different needs and user modes. Therefore, production constrains need to be integrated in the early phases of the development process of multidisciplinary complex systems, and both the product and the management of the production system should to be optimized concurrently. In this thesis, we propose an approach to integrate the production system constraints with the product design process. For this, the principles of the Set-Based Concurrent Engineering (SBCE) approach are implemented using the model-based system engineering (MBSE) method, in order to reduce the iterative exchange loops between engineering stakeholders. The implementation was performed in a software framework prototype using Python language. A case study of an Electronic Throttle Body (ETB) was used to illustrate and validate the approach. The analysis of the case study allowed us to conclude that our approach supports system designers to integrate production constraints in the early design process and make the right design decisions to avoid heavy investment in the production system
Roa, castro Laura. "Management de la complexité organisationnelle des projets en ingénierie systèmes : Mise en place d'une approche socio-technique pour l'amélioration des aspects collaboratifs". Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLC023/document.
Texto completoThe organisational complexity implied by New Product Development (NPD) within the industry, is often induced by the complex nature of the products themselves. In this context, MBSE (Model Based Systems Engineering) and collaborative approaches address those complexities and have been recognised by their contribution to improve the NPD processes. A successful implementation of a collaborative MBSE design would allow to manage both complexities. This PhD thesis describes an investigation on collaborative MBSE design projects within French teams in automotive and aeronautics companies, with the purpose of enhancing them to improve product development. We understand collaborative MBSE design as a complex organisational system which implies different views or dimensions. The identification of those dimensions, their definition and the study of their interactions constitute the first objective of this research. Understanding each dimension in order to improve collaboration between the project members is the second objectivedeuxième objectif.The third and last objective of this research is to propose Socio Technical Systems (STS) supporting this collaboration. The results of the thesis provide a methodology to manage organisational complexity in collaborative MBSE design projects. The methodology is a combination of four methods assisting the characterisation of the MBSE dimensions (people, process, information objects and tools), while defining their interactions. These methods support respectively: 1) The assessment and description of collaborative MBSE design projects from a systemic perspective 2) The establishment of a shared vision of the work 3) The analysis of the cooperation among the actors 4) The development of STS such as collaborative environment and a collaborative capitalisation support. The implementation of the proposed methods, process and guidelines in the industry has shown how the enhancement of collaboration in MBSE design projects can improve the overall product development
Roa, castro Laura. "Management de la complexité organisationnelle des projets en ingénierie systèmes : Mise en place d'une approche socio-technique pour l'amélioration des aspects collaboratifs". Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLC023.
Texto completoThe organisational complexity implied by New Product Development (NPD) within the industry, is often induced by the complex nature of the products themselves. In this context, MBSE (Model Based Systems Engineering) and collaborative approaches address those complexities and have been recognised by their contribution to improve the NPD processes. A successful implementation of a collaborative MBSE design would allow to manage both complexities. This PhD thesis describes an investigation on collaborative MBSE design projects within French teams in automotive and aeronautics companies, with the purpose of enhancing them to improve product development. We understand collaborative MBSE design as a complex organisational system which implies different views or dimensions. The identification of those dimensions, their definition and the study of their interactions constitute the first objective of this research. Understanding each dimension in order to improve collaboration between the project members is the second objectivedeuxième objectif.The third and last objective of this research is to propose Socio Technical Systems (STS) supporting this collaboration. The results of the thesis provide a methodology to manage organisational complexity in collaborative MBSE design projects. The methodology is a combination of four methods assisting the characterisation of the MBSE dimensions (people, process, information objects and tools), while defining their interactions. These methods support respectively: 1) The assessment and description of collaborative MBSE design projects from a systemic perspective 2) The establishment of a shared vision of the work 3) The analysis of the cooperation among the actors 4) The development of STS such as collaborative environment and a collaborative capitalisation support. The implementation of the proposed methods, process and guidelines in the industry has shown how the enhancement of collaboration in MBSE design projects can improve the overall product development
Leserf, Patrick. "Optimisation de l’architecture de systèmes embarqués par une approche basée modèle". Thesis, Toulouse, ISAE, 2017. http://www.theses.fr/2017ESAE0008/document.
Texto completoFinding the set of optimal architectures is an important challenge for the designer who uses the Model-Based System Engineering (MBSE). Design objectives such as cost, performance are often conflicting. Current methods (OOSEM with SysML or ARCADIA) are focused on the design and the analysis of a particular alternative of the system. In these methods, the topology and the execution platform are frozen before the optimization. To improve the optimization from MBSE, we propose a methodology combining SysML with the concept of “decision point”. An initial SysML model is complemented with “decisions points” to show up the different alternatives for component redundancy, instance selection and allocation. The constraints and objective functions are also added to the initial SysML model, with an optimiza-tion context and parametric diagram. Then a representation of a constraint satisfaction problem for optimization (CSMOP) is generated with an algorithm and solved with an existing solver. A demonstrator implements this transformation in an Eclipse plug-in, combining the Papyrus open-source tool and CSP solvers. Two case studies illustrate the methodology: a stereoscopic camera sensor module and a mission controller for an Unmanned Aerial Vehi-cle (UAV)
Vuillod, Bruno. "Stratégie de modélisation multi-fidélité via une approche système incluant des métamodèles basés sur les entités NURBS". Electronic Thesis or Diss., Paris, HESAM, 2024. http://www.theses.fr/2024HESAE003.
Texto completoThe more complex the problem, the greater the amount of computational resources needed to simulate it. On the other hand, the need for accuracy in the results of a system will not be the same depending on its design phase and the domain studied. The goal of this thesis is to propose a fast, low-cost multi-fidelity modeling strategy. To meet this need, a hybrid modeling approach is developed that combines Model-Based System Engineering (MBSE) and a metamodel based on Non-Uniform Rational Basis-Spline (NURBS) hypersurfaces. More specifically, the scientific challenge of this work is to develop a metamodel based on NURBS entities to simulate the behavior of highly nonlinear systems that require high fidelity modeling but are capable of providing results in real time to be compatible with the MBSE approach. In this context, the NURBS entity-based metamodel is obtained as a solution to an optimization problem solved with a gradient algorithm. In addition, a smoothing term is included in the problem formulation, not only to reduce the influence of any spurious nonlinearities in the training database, but also to limit the phenomenon of overfitting. The technical and scientific challenge of this work is to couple the general MBSE approach with the NURBS-based metamodel
Wu, Quentin. "Capitalisation et réutilisation de savoir-faire dans une approche d’ingénierie système basée sur les modèles : application au système de distribution électrique d’aéronefs". Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0112.
Texto completoModel Based System Engineering (MBSE) is a System Engineering approach in which modeling is the backbone of all engineering activities. It is widely accepted by the industry as a way to satisfy the need to take into account the ever-increasing complexity of systems, for which document-based Systems Engineering practices are reaching their limits. However, numerous feedbacks on the transition to MBSE highlight the steep learning curve required for its implementation, as well as the difficulty for engineers to master it. In this context, the contribution of this manuscript aims at facilitating the adoption of MBSE through the valorization of engineering assets. It seeks to systematize the capitalization and reuse of know-how by using the concept of "pattern", whose role and scope are defined within the framework of MBSE. In order to increase the maturity of capitalization and reuse processes within a company, a maturity scale is also introduce to assess an engineering situation in order to target the efforts to be made. The contribution also deals with the formalization of levels of abstraction of capitalized patterns and of transition mechanisms between these levels of abstraction. On this basis, it formalizes the “Mining-Maturation-Implementation of Patterns” (MMIP) process, whose objective is to be a guide for engineers in the capitalization and reuse of engineering assets. The contribution has been tested on a case study, within the framework of a new industrial project at Safran Electrical & Power. The objective was to demonstrate the existence of patterns, to formalize them and to reuse them in an MBSE context
Veeramani, Lekamani Sarangi. "Model Based Systems Engineering Approach to Autonomous Driving : Application of SysML for trajectory planning of autonomous vehicle". Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254891.
Texto completoModellbaserade systemteknikens (MBSE) inriktning syftar till att implementera de olika processerna i systemteknik (SE) genom diagram som ger olika perspektiv på samma underliggande system. Detta tillvägagångssätt ger en grund som hjälper till att utveckla ett komplext system på ett systematiskt sätt. Sålunda syftar denna avhandling att härleda en systemmodell genom detta tillvägagångssätt för autonom körning, med särskild inriktning på att utveckla delsystemet som är ansvarigt för att generera en genomförbar ban för en miniatyrbil, som kallas AutoCar, för att göra det möjligt att nå målet. Rapporten ger en bakgrund till MBSE and Systemmodelleringsspråk (SysML) som används för modellering av systemet. Med denna bakgrund, MBSE ramverket för AutoCar är härledt och den övergripande systemdesignen förklaras. I denna rapport förklaras vidare begreppen autonom banplanering följd av en introduktion till Robot Operating System (ROS) och dess tillämpning för systemplanering av systemet. Rapporten avslutas med en detaljerad analys av fördelarna med att använda detta tillvägagångssätt för att utveckla ett system. Det identifierar också bristerna för att tillämpa MBSE på systemutveckling. Rapporten stänger med en omtale om hur det givna projektet kan vidarebefordras för att kunna realisera det på ett fysiskt system.
Kerns, Corey Michael. "Naval Ship Design and Synthesis Model Architecture Using a Model-Based Systems Engineering Approach". Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/32459.
Texto completoMaster of Science
Baduel, Ronan. "An integrated model-based early validation approach for railway systems". Thesis, Toulouse 2, 2019. http://www.theses.fr/2019TOU20083.
Texto completoSystem engineering is a domain that studies the conception of complex system. A system corresponds to a solution we want to develop, such as a train, a satellite network, etc. A complex system is composed of several independent elements Engineers work from lists of individual expectations regarding the system to be or what it is supposed to do, which they use to create a system and see if it answers expectations. To gain time and money, we would like to check that the system-to-be answers expectations before developing it: it requires to integrate expectations and specify how they should be put together, inducing a system expected that we can check. The goal pursued in this PhD is to provide a method to integrate information regarding a train system during conception, enabling the specification, representation and validation of its behavior
Lundkvist, Herman y Alexander Yngve. "Accelerated Simulation of Modelica Models Using an FPGA-Based Approach". Thesis, Linköpings universitet, Datorteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-145692.
Texto completoSirgabsou, Yandika. "Proposition d’une approche dirigée par les modèles pour la sûreté de fonctionnement logicielle - Application à l'architecture logicielle des véhicules connectés et autonomes". Electronic Thesis or Diss., Toulouse, INSA, 2023. http://www.theses.fr/2023ISAT0062.
Texto completoIn the context of automotive software development, the general problem that motivated this work was the growing complexity of software architectures and the limitations of the current practices in terms of safety analyses. Despite the development of MBSE (Model Based Systems Engineering), these practices are still characterized by the reliance on manual traditional safety analysis techniques such as Fault Tree Analysis (FTA) or Failure Modes and Effect Analysis (FMEA). Although still useful, these techniques fall short when faced with complexity with the possibility of resulting in subjective, inefficient, poor quality and error-prone analyses. Hence, to improve the state of the current practice in the automotive context, our proposal is to apply the Model Based Safety Analysis (MBSA) approach that is a relevant Model Driven Engineering approach applied to safety. However, the review of the current state of the art of current MBSA approaches suggests that most of these approaches are systems oriented and lack clear methodological support. In addition, some of the MBSA approaches (especially those relying on a dedicated model) require deep understanding (in terms of modeling paradigm) and can be challenging to implement in the case of complex systems (limitations of manual modeling). Also in current practices, safety analysis at software level suffers of poor integration with the software development process, which can result in inconsistent safety analyses. To address these issues, the essence of our contribution is to provide a methodology that adapts the concepts, principles, and methods of MBSA for the purpose of improving the practice of software safety analysis, taking into consideration the current state of practices (in the existing software development process).Our first contribution consists of a methodology covering all the steps required to perform safety analysis on automotive software architectures using the model-based approach while addressing the challenges presented by the lack of inadequate inputs brought by the use of document-centric artifact in some parts of the software engineering process. Through this contribution, we propose a step-by-step methodology for defining the safety analysis context, constructing the dysfunctional architecture, and using it for safety analyses relying on a dedicated model approach.The second proposal, also methodological, aims to address some challenges related to complexity brought by the limitations of a dedicated model approach. It consists of using software fault patterns based on ISO 26262 software fault templates to ease the construction of the dysfunctional model. Through this proposal, prototypes of common software fault patterns are developed and reused to build the dysfunctional model.The third contribution, still undergoing development, is a tooling proposal to partially automated and ease the construction of software component’s fault behavior and propagation through functional to dysfunctional logic translation. It aims to ensure a better consistency of software safety analyses with the software development process constantly with ISO 26262 recommendations
Pastrana, John. "Model-Based Systems Engineering Approach to Distributed and Hybrid Simulation Systems". Doctoral diss., University of Central Florida, 2014. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/6336.
Texto completoPh.D.
Doctorate
Industrial Engineering and Management Systems
Engineering and Computer Science
Industrial Engineering
Pykal, Vojtěch. "Výpočtové modelování dynamiky záběru čelního ozubeného soukolí v prostředí MBS". Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-445163.
Texto completoHerzig, Sebastian J. I. "A Bayesian learning approach to inconsistency identification in model-based systems engineering". Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53576.
Texto completoQamar, Ahsan. "An Integrated Approach towards Model-Based Mechatronic Design". Licentiate thesis, KTH, Mekatronik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-35374.
Texto completoQC 20110629
"Hydrogen Fuel Cell on a Helicopter: A System Engineering Approach". Master's thesis, 2016. http://hdl.handle.net/2286/R.I.38685.
Texto completoDissertation/Thesis
Masters Thesis Engineering 2016
Zambare, Hrishikesh B. "Nonlinear design, modeling and simulation of magneto rheological suspension: a control system and systems engineering approach". Thesis, 2017. https://doi.org/10.7912/C2GW8S.
Texto completoSuspension has been the most important subsystem of the vehicle viewed as a system. The ride comfort and vehicle handling performance are affected by the suspension design. Automotive technology has been continuously incorporating developments over the past few decades to provide the end users with a better comfort of driving. Multi-objective optimization of MR damper with objective function of maximizing damping force generated by MR damper with the geometrical parametric constraint function is achieved in this research using pattern search optimization technique. Research focuses on design, modeling, and simulation of active suspension using non-linear theory of the Magneto-Rheological (MR) damper with consideration of the hysteresis behavior for a quarter car model. The research is based on the assumption that each wheel experiences same disturbance excitation. Hysteresis is analyzed using Bingham, Dahl’s, and Bouc-Wen models. Research includes simulation of passive, Bingham, Dahl, and Bouc-wen models. Modeled systems are analyzed for the six road profiles, including road type C according to international standards ISO/TC108/SC2N67. Furthermore, the comparative study of the models for the highest comfort with less overshoot and settling time of vehicle sprung mass are executed. The Bouc-Wen model is 36.91 percent more comfortable than passive suspension in terms of damping force requirements and has a 26.16 percent less overshoot, and 88.31 percent less settling time. The simulation of the Bouc-Wen model yields a damping force requirement of 2003 N which is 97.63 percent in agreement with analytically calculated damping force generated by MR damper. PID controller implementation has improved the overshoot response of Bouc-Wen model in the range of 17.89 percent-81.96 percent for the different road profiles considered in this research without compromising on the settling time of system. PID controller implementation further improves the passenger comfort and vehicle ride handling capabilities. The interdisciplinary approach of systems engineering principles for the suspension design provides unique edge to this research. Classical systems engineering tools and MBSE approach are applied in the design of the MR damper. Requirement traceability successfully validates the optimized MR damper.
Chang, Po-Jen y 張博仁. "A Nonparametric Approach to Pricing and Hedging MBS Via Kernel-Density Regression Model". Thesis, 2002. http://ndltd.ncl.edu.tw/handle/34145936749136671434.
Texto completo國立中正大學
財務金融研究所
90
The Financial Asset Securitization Law was just passed by Taiwan’s legislature in June, 2002. The law is expected to address stagnancy in Taiwan''s capital markets, it could potentially reinvigorate domestic banks by allowing their asset-backed loans to be packaged into securities. Hence, this new law facilitates the mechanism whereby banks can re-package collateral and sell it to investors as securities, helping to increase the "liquidity of banks" and also diversifying their risks. Financial assets such as mortgages, car loans or credit card receivable accounts can be repackaged into small values in the form of securities certificates or beneficiary certificates for sales to investors. Among all kinds of financial asset products, mortgage-backed security is the most popular in US market. The current way of solving this valuation problems has been to assume a stochastic process for term structure movements and to employ either a simulation/forecasting pricing approach or an empirical/statistical approach for prepayment behavior and price process. In this article, we propose a nonparametric pricing method, kernel-density regression approach, to price weekly TBA (to be announced) GNMA securities. Here we have three goals: the first is to find out what is the best way to reduce the number of independent variables to use for the kernel model and other model and what is the remaining inputs, the second is to assess the pricing effect of kernel-density regression approach versus other pricing models. Finally, we want to recognize the hedging effectiveness of kernel-density regression approach and other models. For comparison, we use another two popular pricing approaches: ordinary least squares (OLS) and a parametric model (proprietary practitioner model). According empirical results, we find that kernel-density regression model perform more effectively on estimating MBS price than the other two models mentioned in this article, except in out-of-sample of time-series sampling. Moreover, kernel-density regression model have better pricing effect on random sampling than on time-series sampling, especially in out-of-sample. In addition, SAS MAXR procedure and principal component analysis can effectively reduce the number of independent variables used for both kernel-density regression model and OLS model. In regard to the hedging effect, the results of in-of-sample are approximately the same with pricing effect analysis. But, in contrast with in-of-sample, Kernel(3-month rate) is the best way to hedge the MBS in out-of-sample, especially on random sampling.
(7039955), Casey Allen Shull. "ALGORITHM TO DEVELOP A MODEL PROVIDING SECURITY AND SUSTAINABILITY FOR THE U.S. INFRASTRUCTURE BY PROVIDING INCREMENTAL ELECTRICAL RESTORATION AFTER BLACKOUT". Thesis, 2019.
Buscar texto completoIs North America vulnerable to widespread electrical blackout from natural or man-made disasters? Yes. Are electric utilities and critical infrastructure (CI) operators prepared to maintain CI operations such as, hospitals, sewage lift stations, food, water, police stations etc., after electrical blackout to maintain National security and sustainability? No. Why? Requirements to prioritize electrical restoration to CI do not exist as a requirement or regulation for electrical distribution operators. Thus, the CI operators cannot maintain services to the public without electricity that provides power for the critical services to function. The problem is that electric utilities are not required to develop or deploy a prioritized systematic plan or procedure to decrease the duration of electrical outage, commonly referred to as blackout. The consequence of local blackout to CI can be multi-billion-dollar financial losses and loss of life for a single outage event attributed to the duration of blackout. This study utilized the review of authoritative literature to answer the question: “Can a plan be developed to decrease the duration of electrical outage to critical infrastructure”. The literature revealed that electric utilities are not required to prioritize electrical restoration efforts and do not have plans available to deploy minimizing the duration of blackout to CI. Thus, this study developed a plan and subsequent model using Model Based System Engineering (MBSE) to decrease the duration of blackout by providing incremental electrical service to CI.