• DocumentCode
    2964817
  • Title

    Construction of knowledge based engineering platform for armored vehicle

  • Author

    Wang, Guoxin ; Yan, Yan ; Hu, Lichen ; Zhang, Xiang ; Wang, Lu

  • Author_Institution
    Dept. of Ind. Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    1052
  • Lastpage
    1056
  • Abstract
    Armored vehicle design involves various aspects of technical knowledge and experience. To effectively manage and share this knowledge and experience throughout the entire development process, a methodology of construction of knowledge based engineering (KBE) platform for armored vehicle is proposed. In this methodology proposed, architecture of the knowledge based engineering platform and category of armored vehicle knowledge are first presented. And then, the modeling, storage and retrieval for each type of knowledge are illustrated. The ontology is adopted to create the innovation design knowledge base. Combing the case-based reasoning (CBR) with function-structure mapping method to construct the reuse design knowledge base. Design process integration technique is applied to build the typical design problem solving knowledge base. Finally, a practical case study is presented to introduce the operations of the knowledge based engineering platform for armored vehicle.
  • Keywords
    CAD; knowledge based systems; military vehicles; ontologies (artificial intelligence); armored vehicle design; function-structure mapping method; innovation design knowledge; knowledge based engineering platform construction; ontology; reuse design knowledge base; Automotive engineering; Design automation; Design engineering; Knowledge engineering; Knowledge management; Ontologies; Performance analysis; Power engineering and energy; Process design; Vehicles; Knowledge based engineering; case-base reasoning; function-structure mapping; ontology; process integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5372938
  • Filename
    5372938