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
Link To Document :
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