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
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