• DocumentCode
    3035755
  • Title

    Introduction of case study for M2M intelligent machine tools

  • Author

    Kim, Dong-Roon ; Song, Jun-Yeob ; Cha, Seuk-Keun

  • Author_Institution
    Intell. Manuf. Syst. Res. Div., KIMM, Daejeon, South Korea
  • fYear
    2009
  • fDate
    17-20 Nov. 2009
  • Firstpage
    408
  • Lastpage
    411
  • Abstract
    In the near future, machine tools will be more improved in the form of a knowledge-evolution based intelligent device. The final goal of this study is to develop an intelligent machine tools having knowledge-evolution capability in machine to machine (M2M) wired & wireless environment. The knowledge-evolution based intelligent machine tools is expected to gather knowledge autonomously by producing knowledge, understanding knowledge, reasoning knowledge, making a new decision, dialoguing with other machines, etc. The concept of the knowledge-evolution intelligent machine is originated from the machine control being operated by sense, dialogue and decision of human-expert. With intent to develop the knowledge-evolution based machine tools, the structure of knowledge-evolution in M2M and the scheme for a dialogue agent among agent-based modules such as a sensory agent, a dialogue agent and an expert system (decision support agent) are presented in this paper. And work-offset compensation from thermal change and recommendation of cutting condition are on-line performed for knowledge-evolution verification.
  • Keywords
    decision support systems; knowledge based systems; knowledge verification; machine tools; multi-agent systems; production engineering computing; M2M intelligent machine tools; agent-based modules; decision support agent; dialogue agent; expert system; knowledge-evolution based intelligent device; knowledge-evolution intelligent machine; knowledge-evolution verification; machine control; machine to machine wired-wireless environment; work-offset compensation; Assembly; Brushless DC motors; Control systems; Error correction; Fuzzy control; Fuzzy sets; Fuzzy systems; Machine intelligence; Machine tools; Takagi-Sugeno model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Assembly and Manufacturing, 2009. ISAM 2009. IEEE International Symposium on
  • Conference_Location
    Suwon
  • Print_ISBN
    978-1-4244-4627-8
  • Electronic_ISBN
    978-1-4244-4628-5
  • Type

    conf

  • DOI
    10.1109/ISAM.2009.5376966
  • Filename
    5376966