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Статті в журналах з теми "Approche MBSE":
Mhenni, Faïda, Ferdinando Vitolo, Andrea Rega, Régis Plateaux, Peter Hehenberger, Stanislao Patalano, and Jean-Yves Choley. "Heterogeneous Models Integration for Safety Critical Mechatronic Systems and Related Digital Twin Definition: Application to a Collaborative Workplace for Aircraft Assembly." Applied Sciences 12, no. 6 (March 9, 2022): 2787. http://dx.doi.org/10.3390/app12062787.
Husung, Stephan, Christian Weber, Atif Mahboob, and Sven Kleiner. "USING MODEL-BASED SYSTEMS ENGINEERING FOR NEED-BASED AND CONSISTENT SUPPORT OF THE DESIGN PROCESS." Proceedings of the Design Society 1 (July 27, 2021): 3369–78. http://dx.doi.org/10.1017/pds.2021.598.
Huss, Moe, Daniel R. Herber, and John M. Borky. "An Agile Model-Based Software Engineering Approach Illustrated through the Development of a Health Technology System." Software 2, no. 2 (April 17, 2023): 234–57. http://dx.doi.org/10.3390/software2020011.
Habermehl, Christian, Gregor Höpfner, Jörg Berroth, Stephan Neumann, and Georg Jacobs. "Optimization Workflows for Linking Model-Based Systems Engineering (MBSE) and Multidisciplinary Analysis and Optimization (MDAO)." Applied Sciences 12, no. 11 (May 24, 2022): 5316. http://dx.doi.org/10.3390/app12115316.
Bouaicha, Mohammed, Imad El Adraoui, Hassan Gziri, Nadia Machkour, and Mourad Zegrari. "Operational Analysis Based on the MBSE Grid for the Implementation of Hydroelectric Group Health Monitoring and Management Unit." International Journal of Emerging Technology and Advanced Engineering 11, no. 12 (December 25, 2021): 136–50. http://dx.doi.org/10.46338/ijetae1221_15.
Schöberl, M., E. Rebentisch, J. Trauer, M. Mörtl, and J. Fottner. "EVALUATING MBSE POTENTIAL USING PRODUCT AND DEVELOPMENT CHARACTERISTICS – A STATISTICAL INVESTIGATION." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 2385–94. http://dx.doi.org/10.1017/dsd.2020.277.
Boggero, Luca, Adrian Chojnacki, Jasper Bussemaker, Julian Bartels, Dominik Quantius, and Björn Nagel. "The MBSE competence at the German Aerospace Center." INCOSE International Symposium 33, no. 1 (July 2023): 910–24. http://dx.doi.org/10.1002/iis2.13061.
Zeller, Marc. "Safety Assurance of Autonomous Systems using Machine Learning: An Industrial Case Study and Lessons Learnt." INCOSE International Symposium 33, no. 1 (July 2023): 320–33. http://dx.doi.org/10.1002/iis2.13024.
Madni, Azad, and Shatad Purohit. "Economic Analysis of Model-Based Systems Engineering." Systems 7, no. 1 (February 20, 2019): 12. http://dx.doi.org/10.3390/systems7010012.
Yildirim, Unal, Felician Campean, Aleksandr Korsunovs, and Aleksandr Doikin. "FLOW HEURISTICS FOR FUNCTIONAL MODELLING IN MODEL-BASED SYSTEMS ENGINEERING." Proceedings of the Design Society 3 (June 19, 2023): 1895–904. http://dx.doi.org/10.1017/pds.2023.190.
Дисертації з теми "Approche MBSE":
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.
The 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.
Engineered 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.
The 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.
The 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.
Finding 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.
The 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.
Model 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.
Modellbaserade 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.
Master of Science
Baduel, Ronan. "An integrated model-based early validation approach for railway systems." Thesis, Toulouse 2, 2019. http://www.theses.fr/2019TOU20083.
System 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
Книги з теми "Approche MBSE":
UK Chapter Staff International Council on Systems Engineering, Simon Perry, and Jon Holt. Implementing MBSE into Your Business: The Trinity Approach. Incose UK Limited, 2020.
Mindfulnessbased Cancer Recovery A Stepbystep Mbsr Approach To Help You Cope With Treatment Reclaim Your Life. New Harbinger Publications, 2011.
Speca, Michael, Linda Carlson, and Zindel V. Segal. Mindfulness-Based Cancer Recovery: A Step-By-Step MBSR Approach to Help You Cope with Treatment and Reclaim Your Life. New Harbinger Publications, 2011.
Speca, Michael, Linda Carlson, and Zindel V. Segal. Mindfulness-Based Cancer Recovery: A Step-By-Step MBSR Approach to Help You Cope with Treatment and Reclaim Your Life. New Harbinger Publications, 2011.
Speca, Michael, and Linda E. Carlson. Mindfulness-Based Cancer Recovery: A Step-By-Step MBSR Approach to Help You Cope with Treatment and Reclaim Your Life. ReadHowYouWant.com, Limited, 2011.
Braun, Erik. Mindful but Not Religious. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190495794.003.0009.
Частини книг з теми "Approche MBSE":
Ślączka, Wojciech, Krzysztof Pietrusewicz, and Marcin Marcinek. "Intelligent Container in Water – Land Transport. MBSE Approach for System Design." In Communications in Computer and Information Science, 344–59. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66251-0_28.
Chen, Zhiying, Yufeng Wang, Yuchen Zhang, and Teng Li. "MBSE Approach to Aero-Engine Turbine System Design and Requirements Management." In Lecture Notes in Electrical Engineering, 1730–44. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3305-7_139.
Schumacher, David. "From Document Centric Approach to MBSE Approach: BPMN, UML, SysML and Wire Framing Implementation." In Complex Systems Design & Management, 234. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04209-7_20.
Albarello, Nicolas, and Hongman Kim. "Application of an MBSE Approach for the Integration of Multidisciplinary Design Processes." In Complex Systems Design & Management, 85–96. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02812-5_7.
Lázaro, Oscar, Jesús Alonso, Roxana-Maria Holom, Katharina Rafetseder, Stefanie Kritzinger, Fernando Ubis, Gerald Fritz, et al. "Model-Based Engineering and Semantic Interoperability for Trusted Digital Twins Big Data Connection Across the Product Lifecycle." In Technologies and Applications for Big Data Value, 399–429. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-78307-5_18.
Jorge, Pedro, Yann Bezin, Ilaria Grossoni, and Sergio Neves. "Modelling Track Flexibility in Turnouts Using MBS Approach." In Lecture Notes in Mechanical Engineering, 359–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38077-9_42.
Zhao, Lingfeng, Lingyun Cheng, Guoxiong Zhan, and Zhen Yao. "Building a Collaborative MBSE Model for Spacecraft Design Based on an Enterprise Architecture Approach." In Lecture Notes in Electrical Engineering, 283–90. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2120-7_35.
Guo, Yuqiang, Keke Qi, Hui Zhao, Guoding Chen, and Junxian Guo. "An Aeronautical System Parameters Modeling Method Crossing Muti-architecture Levels in the MBSE Approach." In 2023 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2023) Proceedings, 844–50. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4010-9_63.
Piet, Jacob, Lone Fjorback, and Saki Santorelli. "What Is Required to Teach Mindfulness Effectively in MBSR and MBCT?" In Mindfulness and Buddhist-Derived Approaches in Mental Health and Addiction, 61–83. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-22255-4_4.
Guo, Yuqiang, Xiaohui Ji, Jun Zhao, Hui Zhao, and Junxian Guo. "An Aeronautical System Functional Logic Co-simulation Method Crossing Multi-architecture Levels in the MBSE Approach." In 2023 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2023) Proceedings, 608–16. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4010-9_45.
Тези доповідей конференцій з теми "Approche MBSE":
Keith, Cody D., Sayeed Abbas, and Sydney Autry. "Data Driven Risk Analysis and Production Forecast Deration for Matrix Bypass Events in the West Sak Oil Pool, Alaska North Slope." In SPE Western Regional Meeting. SPE, 2023. http://dx.doi.org/10.2118/212950-ms.
Basilio, Leandro Pereira, Priscilla Badega Machado, Débora Calaza de Sousa, Rafael Vinicius de Castro, Diego Russo Juliano, Pauline Santa Rosa Simões Drummond Boeira, and Marcelo Andreotti. "A Model-Based System Metaheuristic Engineering MBSME Approach in the Conceptual Selection of Offshore Production Units." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31308-ms.
Rhodes, Donna H., and Adam M. Ross. "Anticipatory capacity: Leveraging model-based approaches to design systems for dynamic futures." In 2009 International Conference on Model-Based Systems Engineering (MBSE). IEEE, 2009. http://dx.doi.org/10.1109/mbse.2009.5031719.
Charfi, Asma, Takwa Kochbati, and Chokri Mraidha. "FROM RESEARCH TO PRACTICE: DOES AI PROMOTE OR PREVENT THE USE OF AN MBSE TOOL?" In 8th International Conference on Software Engineering. Academy & Industry Research Collaboration, 2023. http://dx.doi.org/10.5121/csit.2023.131202.
Monteiro, João P., Paulo J. S. Gil, and Rui M. Rocha. "A Taxonomy for Model-Based Systems Engineering." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-69125.
Kolesnikov, Max. "Effective Application of Model-Based Software Engineering Technology to Automotive Embedded Software." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2049.
Chen, Jinwei, Yuanfu Li, Zhenchao Hu, and Huisheng Zhang. "Study on Model-Based Systems Engineering Method for Modeling of Thermal Power System." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23867.
Mazeika, Donatas, Aurelijus Morkevicius, and Aiste Aleksandraviciene. "MBSE driven approach for defining problem domain." In 2016 11th System of Systems Engineering Conference (SoSE). IEEE, 2016. http://dx.doi.org/10.1109/sysose.2016.7542911.
Fuchs, Joachim. "Multi-disciplinary MBSE Approach in Industrial Phases." In Infotech@Aerospace 2012. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-2532.
Huang, Zhaofeng, Stuart Swalgen, Heidi Davidz, and Julia Murray. "MBSE-assisted FMEA approach — Challenges and opportunities." In 2017 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2017. http://dx.doi.org/10.1109/ram.2017.7889722.