Early concurrent engineering necessitates a high degree of knowledge to assess the impact of design decisions. Part of Knowledge-Based Engineering (KBE), recent methodologies employing ontologies have gained more interest over the past years due to their shared conceptualizations, knowledge representations, and reasoning capabilities. Merged with Model-Based Systems Engineering (MBSE) activities, they enable knowledge-based systems to be seamlessly integrated within Industry 4.0. The incorporation of KBE within MBSE is of major importance in complex engineering sectors with an increasingly competitive market, such as the aerospace industry. This paper leverages the application of a hybrid knowledge extraction approach to support cross-domain collaboration during the conceptual design phase of a new aircraft.

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A Hybrid Knowledge Extraction Approach to Support Early Concurrent Engineering in the Aerospace Industry

  • Eliott Duverger,
  • Eric Levrat,
  • Alexis Aubry,
  • Rebeca Arista

摘要

Early concurrent engineering necessitates a high degree of knowledge to assess the impact of design decisions. Part of Knowledge-Based Engineering (KBE), recent methodologies employing ontologies have gained more interest over the past years due to their shared conceptualizations, knowledge representations, and reasoning capabilities. Merged with Model-Based Systems Engineering (MBSE) activities, they enable knowledge-based systems to be seamlessly integrated within Industry 4.0. The incorporation of KBE within MBSE is of major importance in complex engineering sectors with an increasingly competitive market, such as the aerospace industry. This paper leverages the application of a hybrid knowledge extraction approach to support cross-domain collaboration during the conceptual design phase of a new aircraft.