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Ontology for Systems Engineering Technical Processes

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Complex Systems Design & Management

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Abstract

INCOSE has published the 4th edition of Systems Engineering Handbook in 2015 and devoted to the development of MBSE methodology to support Systems Engineering processes. However, there is still a gap between the “WHAT” processes and the “HOW” methodology. This paper defines the foundation ontologies and modeling methods for the first four technical processes. The ontologies normalize concepts and relationships to model, while mappings from ontologies to SysML metamodels stipulate rules to create formal system models. Besides, a further step has been advanced for information exchange between system descriptive models and discipline analysis models to facilitate the transformation from logical architecture to physical architecture. This approach has been used in a medium-sized UAV system development and greatly improves the processes performance and models quality.

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Author information

Authors and Affiliations

  1. Institute of Unmanned System, Beihang University, Beijing, China

    Chuangye Chang

  2. National Key Laboratory for Complex Systems Simulation, Beijing, China

    Gang Xiao & Yaqi Zhang

Authors
  1. Chuangye Chang
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  2. Gang Xiao
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  3. Yaqi Zhang
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Corresponding author

Correspondence to Chuangye Chang .

Editor information

Editors and Affiliations

  1. CESAMES, Paris, France

    Daniel Krob

  2. Tsinhua University, Beijing, China

    Lefei Li

  3. Chinese Society for Aeronautics, Beijing, China

    Junchen Yao

  4. CSSC Systems Engineering Research Institute, Beijing, China

    Hongjun Zhang

  5. Tsinhua University, Beijing, China

    Xinguo Zhang

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Chang, C., Xiao, G., Zhang, Y. (2021). Ontology for Systems Engineering Technical Processes. In: Krob, D., Li, L., Yao, J., Zhang, H., Zhang, X. (eds) Complex Systems Design & Management . Springer, Cham. https://doi.org/10.1007/978-3-030-73539-5_26

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  • DOI: https://doi.org/10.1007/978-3-030-73539-5_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73538-8

  • Online ISBN: 978-3-030-73539-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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