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  • 1. Hongwei, Wang
    et al.
    Guoxin, Wang
    Jinzhi, Lu
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Changfeng, Ma
    Ontology supporting Model-based Systems Engineering based on a GOPPRR approach2019In: WorldCist'19 - 7th World Conference on Information Systems and Technologies, Springer, 2019, Vol. 930, p. 426-436Conference paper (Refereed)
    Abstract [en]

    Model-based systems engineering (MBSE) has become a new trend in systems engineering. The core of MBSE is the use of models to formalize product development and the product itself (requirement, architecture, etc.) using different languages throughout the entire lifecycle. However, different tools based on different modeling languages in each development phase lead to considerable deviations during information sharing between the models. In this paper, a GOPPRR approach is proposed to describe system characteristics and system development based on meta-models for different architecture descriptions using meta-meta models including Graph, Object, Point, Property, Role, and Relationship. Moreover, ontology based on W3C Web Ontology Language (OWL) is designed to support the GOPPRR approach for unified model representations and further to implement model integration in the entire lifecycle. Finally, the feasibility of the GOPPRR approach and the ontology formalism supporting MBSE is verified through an auto-braking case of an autonomous driving system.

  • 2. Jian, Wang
    et al.
    Hongxin, Li
    Jinzhi, Lu
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Kun, Li
    Huan, Li
    Lian, Yang
    Yubai, Li
    A PSO-Based Layout Method for GNSS Pseudolite System2017In: Proceedings of the 2017 International Conference on Information Technology, 2017, p. 313-317Conference paper (Refereed)
    Abstract [en]

    In order to improve the user positioning accuracy in GNSS (Global Navigation Satellite System) pseudolite system, we propose a PSO (Particle Swarm Optimization)-based method to optimize the pseudolite layout in this paper. In detail, given the pseudolite layout information, we calculate the system GDOP (Geometric Dilution of Precision) and then minimize it by using a PSO-based algorithm with N particles. Here the first particle indicates the classical layout under the given scenario and the other particles separately represent N-1 randomly generated layouts. In each iteration of our PSO-based algorithm, these particles move to a direction to reduce the GDOP value. After several iterations, the GDOP value can be minimized and the optimal pseudolite layout is found out as well. To evaluate the merits of our method, we perform some experiments. The experimental results show that compared to the classical pseudolite layout, our method can reduce the GDOP by 13.4%. This, with no doubt, improves the user positioning accuracy. For example, when the pseudo-range error is about 1%, the user positioning accuracy in our optimized layout can be improved by 12.4% against the classical layout.

  • 3. Jiangmin, Guo
    et al.
    Lu, Jinzhi
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Guoxin, Wang
    Shengnan, Sun
    Hang, Zhang
    A General Modeling Language Supporting Architecture driven and Code Generation (Part 2)2019Conference paper (Refereed)
  • 4. Jinwei, Chen
    et al.
    Zhenchao, Hu
    Lu, Jinzhi
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Huisheng, Zhang
    Sihan, Huang
    Törngren, Martin
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    An Open Source Lifecycle Collaboration Approach Supporting Internet of Things System Development2019Conference paper (Refereed)
  • 5.
    Jinzhi, Lu
    KTH, School of Industrial Engineering and Management (ITM).
    A Framework for Cyber-physical System Tool-chain Development: A Service-oriented and Model-based Systems Engineering Approach2019Doctoral thesis, monograph (Other academic)
    Abstract [en]

    The development of complex Cyber-physical Systems (CPS) requires tight interactions of projects, system components, stakeholders, data and models. These models and data support component design, which are implemented by various engineering tools used by stakeholders. Effective tool integration thus relies on development of tool-chains. Five common challenges have been identified as part of this work concerning the development of tool-chains to support Model-based System Engineering (MBSE) for complex CPS:

    1. Models from different domains are represented by different syntaxes and seemingly similar syntax may have completely distinct semantics. Moreover, such models and their views have completely different purposes. A unified formalism, therefore, does not exist to accommodate all system artifacts from all constituent models.
    2. Modeling tools are developed by different tool suppliers and hence the interoperability of these tools may be limited, because the interfaces may not be fully open.
    3. The interoperability limitation is especially prohibitive for co-simulations across multiple simulation tools.
    4. Tool-chains must support design automation of product development workflows as adopted by different business units.
    5. Users and developers of the MBSE tool-chain must have evaluation criteria to judge the effectiveness of different tool-chains and workflows.

    To alleviate these challenges, this thesis proposes a novel Model-based System Engineering (MBSE) framework, called SPIRIT, to support model and data integration and tool-chain development. The framework contributes to four main phases for CPS tool-chain development, namely concept, design, early evaluation and operation phases. For the concept phase, the framework exploits the systems thinking approach to develop novel concepts of MBSE tool-chains. For the design phase, the framework adopts a service-oriented approach to construct tool-chains from the perspectives of social networks, process, information-service-infrastructure, and technology. For the early evaluation phase, quantitative metrics are defined to measure, (i) the MBSE capabilities of tools within a tool-chain, and (ii) the interoperability of the tool-chain. For the operation phase, several MBSE tool-chain prototypes are developed to support product development. An advantage of the new framework is to support tool-chain development using systems thinking and considering integrations of several open standards, including: 1) a domain-specific modeling (DSM) approach based on the Graph-Object-Property-Point-Role-Relationship meta-meta model; 2) ontology design based on the Web Ontology Language; 3) co-simulation using the High-Level Architecture and the Functional Mock-up Interface; 4) model-driven process management using BPMN; 5) tool-integration based on Open Services for Lifecycle Collaboration; and 6) value selections of design parameters based on an automated decision-making algorithm.

    The effectiveness of the novel MBSE framework is investigated and verified by three case studies. Three main contributions are concluded from this thesis:

    1. Benefits and challenges of MBSE tool-chains in industry are identified through a questionnaire survey and literature review. The results and the use of a systems thinking approach led to the development of a conceptual architectural model aiming to support MBSE tool-chain formalisms.
    2. The SPIRIT framework is defined to provide support for MBSE tool-chain development. The framework has the following properties: architecting by DSM, integrating tools and models via open standards, enabling automatic co-simulations, and supporting design automation.
    3. A DSM approach supporting visualization and Bayesian network analysis is presented to support MBSE tool-chain assessment. Quantitative metrics are defined to evaluate the effectiveness of MBSE tool-chains.
  • 6.
    Jinzhi, Lu
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Chen, DeJiu
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Control Systems. KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Jian, Wang
    University of Electronic Science and Technology of China,.
    Guoxin, Wang
    BIT.
    Törngren, Martin
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    A Model-based Systems Engineering Tool-chain Supporting Automated Co-Simulation2019In: Integrated Computer-Aided Engineering, ISSN 1069-2509, E-ISSN 1875-8835Article in journal (Other academic)
  • 7.
    Jinzhi, Lu
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Chen, DeJiu
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Jian, Wang
    University of Electronic Science and Technology of China,.
    Törngren, Martin
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Towards A Service-oriented Framework for MBSE Tool-chain Development2018In: 2018 13th System of Systems Engineering Conference, SoSE 2018, Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 568-575, article id 8428746Conference paper (Refereed)
    Abstract [en]

    This paper proposes a SPIRIT framework supporting model-based systems engineering (MBSE) tool-chain development of advanced cyber-physical systems (CPS) with emphasis on tool integration, process management, automated verification and validation. The core features of the developed MBSE tool-chain include domain-specific modeling to describe CPS development, service-oriented deployment of technical resources (data, model and tool operations) and process management through IT platforms. The framework has two purposes: to support tool-chain development with a systems engineering approach; to promote interoperability of the whole developed tool-chain through a service-oriented approach. The framework covers social, process, information and technical aspects aiming to integrate various related MBSE techniques with tool-chain development. Based on the framework, an MBSE tool-chain prototype is developed, and the flexibility and interoperability are evaluated through a case study.

  • 8.
    Jinzhi, Lu
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Jian, Wang
    University of Electronic Science and Technology of China,.
    Zhe, Chen
    University of Electronic Science and Technology of China,.
    A Fault Propagation Model for FPGA Netlist with Un-reconvergence Paths2018In: Proceedings - 2018 5th International Conference on Information Science and Control Engineering, ICISCE 2018 / [ed] IEEE, Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1015-1015, article id 8612707Conference paper (Refereed)
    Abstract [en]

    In this paper, we propose an analysis method of fault propagation based on the FPGA netlist with un-reconvergence path. First of all, we analyze the characteristics of common components in the netlist, calculate the fault propagation probability of these components, and then establish a netlist-level fault propagation model based on the interconnection topological structure of the components in the netlist. When a fault happens at input ports of the netlist, we analyze the fault propagation characteristics in the whole netlist, calculate the probability of the fault propagating from input to output ports, and find out the input port which is most likely to cause the fault. Finally, we verify the model presented in this paper by experiments. The experimental results show that the estimated error of fault propagation probability is negligible. It is less than 0.1% compared to the corresponding testing results.

  • 9.
    Jinzhi, Lu
    et al.
    National CAD Support Software Engineering Research CenterHuazhong University of Science and Technology, Wuhan, China ; AVIC, Shenyang Engine Design and Research Institute.
    Jianwan, Ding
    National CAD Support Software Engineering Research CenterHuazhong University of Science and Technology, Wuhan, China.
    Fanli, Zhou
    Suzhou Tongyuan Software and Control Technology Company, Suzhou, China.
    Xiong, Gong
    National CAD Support Software Engineering Research CenterHuazhong University of Science and Technology, Wuhan, China.
    Research of Tool-Coupling Based Electro-hydraulic System Development Method2016In: Proceedings of the 6th International Asia Conference on Industrial Engineering and Management Innovation / [ed] Atlantis Press, 2016Conference paper (Refereed)
    Abstract [en]

    This paper introduces a new kind of tool-coupling based electro-hydraulic system development method including designing character-oriented electro-hydraulic system development and design procedure, co-simulation based system coupling strategy, client-server model management method. An integrated development platform is designed for co-simulation among AMESim, Matlab\Simulink, Flowmaster, Saber and Simplorer. The platform can manage each simulator’s models and co-simulation procedure. The result illustrates tool coupling based electro-hydraulic system development method can improve the efficiency of multi-team collaborative design for electro-hydraulic system and also can analyze and evaluate the performance of integrated electro-hydraulic system at the initial stage of the design procedure.

  • 10.
    Jinzhi, Lu
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics. KTH Royal Inst Technol, S-10044 Stockholm, Sweden..
    Wang, Jiqiang
    Nanjing Aeronaut & Astronaut Univ, Coll Energy & Power Engn, Nanjing 210016, Jiangsu, Peoples R China..
    Chen, DeJiu
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Machine Design (Div.). KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Control Systems. KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics. KTH Royal Inst Technol, S-10044 Stockholm, Sweden..
    Wang, Jian
    Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Sichuan, Peoples R China..
    Törngren, Martin
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Machine Design (Div.). KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Control Systems. KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics. KTH Royal Inst Technol, S-10044 Stockholm, Sweden..
    A Service-Oriented Tool-Chain for Model-Based Systems Engineering of Aero-Engines2018In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 50443-50458Article in journal (Refereed)
    Abstract [en]

    This paper proposes a service-oriented tool-chain with an emphasis on domain-specific views, simulation automation, and process management to support model-based system engineering of aero-engines. In the tool-chain, a domain-specific modeling approach is adopted to facilitate the descriptions of co-design workflows and the related development information. The relevant domain-specific models are the basis for automated creation of a Web-based process management system consolidating and controlling service-oriented technical resources (models, data, and tools). In particular, the system also provides support for automated orchestration of tool operations, model, and simulation configurations. In order to promote the model and tool interoperability, the tool-chain adopts open standards for integrations, including open services for lifecycle collaboration and functional mock-up interface. Finally, through a case study of simulation-based aero-engine performance analysis, we evaluate the flexibility and efficiency of this tool chain by comparing it with a traditional simulation process both qualitatively and quantitatively.

  • 11.
    Jinzhi, Lu
    et al.
    KTH, School of Industrial Engineering and Management (ITM). Kungliga Tekniska Högskolan.
    Xinguo, Wang
    Design Ontology in a Case Study for Co-simulation in a Model-based Systems Engineering Tool-chain2019In: IEEE Systems journalArticle in journal (Refereed)
  • 12.
    Jinzhi, Lu
    et al.
    KTH, School of Industrial Engineering and Management (ITM). KTH-Royal Insititute of Technology.
    Yuejie, Wen
    China Academy of Space Technology.
    Gürdür, Didem
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    Qi, Li
    Suzhou Tongyuan Software and Control Technology Co. Ltd.
    Törngren, Martin
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Machine Design (Div.). KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Embedded Control Systems. KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    MBSE Applicability Analysis in Chinese Industry2018Conference paper (Refereed)
    Abstract [en]

    Model-based systems engineering (MBSE) is an emerging technique widely used in current industry. It is a leading way expected to become a next-generation standard practice in the systems engineering. Fundamental tenets of systems engineering can be supported by a model-based approach to minimize design risks and avoid design changes in late development stages. The models can be used to formalize, analyze, design, optimize, verify and validate target products which help developers to integrate engineering development, organization and product across domains. Though model-based development is well established in specific domains, such as software, mechanical system, electric systems, its role in integrated development from system aspect is still a big challenge for current Chinese industry. In this paper, a survey from volunteers who related with MBSE is taken by questionnaires. The purpose of this survey is to highlight the usage and status of MBSE in current Chinese industry and address roughly the understandings of MBSE concepts among system developers in China based on the answers about usages, advantages, barriers, concerns, trends of MBSE, particularly the perspective of tool-chain development.

  • 13. Mengyun, Lian
    et al.
    Jian, Wang
    Jinzhi, Lu
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.
    A Fault Propagation Model for Un-reconvergence Path Netlist in FPGA2018Conference paper (Refereed)
  • 14.
    Zhigang, Liu
    et al.
    Beijing Institute of Spacecraft System Engineering.
    Mengfei, Yang
    Beijing Institute of Spacecraft System Engineering.
    Qi, Chen
    Beijing Institute of Spacecraft System Engineering.
    Qing, Du
    Beijing Institute of Spacecraft System Engineering.
    Ning, Xia
    Beijing Institute of Spacecraft System Engineering.
    Lu, Jinzhi
    KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics. KTH-Royal Insititute of Technology.
    An MBSE Tool to Support Architecture Design for Spacecraft Electrical Power System2018Conference paper (Refereed)
    Abstract [en]

    Since difficulty and complexity of spaceflight missions are increasing, current electric systems in the spacecraft become increasingly complicated challenging the spacecraft electrical power system (EPS) development. By using a traditional approach, architectures of EPS are managed by document collections including various reports, documents and data chats. Due to lack of unified visualization of system architectures in such document collections, consistency and traceability among documents, data and related system developers are difficult to be managed, particular in supporting verification of system architectures. This paper presents a model-based systems engineering (MBSE) solution emphasis on domain-specific modeling (DSM), architecture visualization, model transformation and Modelica. The aim of this MBSE tool is to support management of specifications and architecture models, realize architecture-driven system verification & validation of EPS by using Modelica language and visualization of architectural hierarchy inspired by related techniques of Google Earth. Finally, through a case study of EPS, we evaluate the feasibility and effectiveness of our solutions.

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