• DocumentCode
    2239968
  • Title

    Hierarchical Decision-making of Multi-sensor System for State Estimation of Machining Process

  • Author

    Wei, Liang ; Yinhua, Li ; Jie, Li

  • Author_Institution
    Dept. of Electr. & Inf., Zhengzhou Inst. of Light Ind.
  • fYear
    2006
  • fDate
    4-7 Dec. 2006
  • Firstpage
    155
  • Lastpage
    158
  • Abstract
    Focused on the problem of state estimation in machining process, this paper bring out a hierarchical architecture of multi-sensory system containing level-data fusion and team-decision making. Taking the grinding wheel´s cutting process as example, an experiment aimed at the architecture´s performance on state monitoring and parameter adjustment is carried out, which obtained favorable results. The paper also makes a briefly analysis for it
  • Keywords
    decision making; machining; sensor fusion; state estimation; data fusion; decision making; hierarchical architecture; machining process; multi sensor system; state estimation; Condition monitoring; Decision making; Inference algorithms; Machining; Noise level; Sensor systems; Signal processing; State estimation; Stress; Target tracking; component; data fusion; decision-making; hierarchical architecture; machining process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2006. APCCAS 2006. IEEE Asia Pacific Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    1-4244-0387-1
  • Type

    conf

  • DOI
    10.1109/APCCAS.2006.342337
  • Filename
    4145355