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
Link To Document :
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