• DocumentCode
    2803068
  • Title

    An Application of Case Based Reasoning to Predict Structure Maintainability

  • Author

    Yu Haiquan ; Peng Gaoliang ; Liu Wenjian

  • Author_Institution
    Sch. of Mech., Harbin Inst. of Technol., Harbin, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In order to complete maintainability design and prediction in design stage, case based reasoning (CBR), as an artificial intelligence (AI) method, is used in this paper. The maintainability of structure is considered in design stage. So the cases of structure including not only function factors but also maintainability factors are presented by frame. The retrieval algorithm about similar cases is put forward through two layers: function factors and maintainability factors. With CBR, the method could help designers, by referencing previous cases, to make a conceptual maintainability design and prediction quickly, and finally finish the detailed design and prediction. In this paper a new method is put forward to predict the maintainability of structure in design stage.
  • Keywords
    artificial intelligence; case-based reasoning; design engineering; maintenance engineering; reliability; structural engineering; artificial intelligence method; case based reasoning; design stage; function factors; maintainability design; maintainability factors; retrieval algorithm; structure maintainability; Artificial intelligence; Assembly; Character recognition; Design engineering; Design methodology; Economic forecasting; Maintenance engineering; Prediction methods; Product design; Standardization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5362535
  • Filename
    5362535