• DocumentCode
    498204
  • Title

    Multi-view Analysis on Coordinate Intelligent Diagnosis Process

  • Author

    Yanling, Han ; Shouqi, Cao ; Lilan, Liu

  • Author_Institution
    Coll. of Inf., Shanghai Ocean Univ., Shanghai, China
  • Volume
    1
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    282
  • Lastpage
    287
  • Abstract
    Facing to the increasingly complication and intelligence of modern manufacture system, the research on coordinate intelligent diagnosis has become development trend. This paper proposed the multi-view model of coordinate intelligent diagnosis process, parsed deeply the organization and running mode of information, knowledge and intelligence in the process of intelligent diagnosis, and depicted its structure appearance. At first, the multi-view model and the mutual relationship description of coordinate intelligent diagnosis were given from the macroscopic and microcosmic facets; and then, from four sides such as structure, action, knowledge and restraint, coordinate intelligent diagnosis process was investigated, the structure view, action view, knowledge view and restraint view of coordinate intelligent diagnosis process were built from all sides and multi-angle; the coordinate and intelligent characteristic of diagnosis process were researched deeply, which established the basis for further research on related technology of coordinate intelligent diagnosis process.
  • Keywords
    fault diagnosis; manufacturing systems; coordinate intelligent diagnosis process; macroscopic facets; manufacture system; microcosmic facets; multiview analysis; Educational institutions; Fault diagnosis; Information analysis; Intelligent manufacturing systems; Intelligent robots; Intelligent structures; Machining; Manufacturing processes; Nonhomogeneous media; Oceans; activity process afflux; coordinate intelligent diagnosis; knowledge view; multi-view analysis; restraint layer network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.282
  • Filename
    5208972