DocumentCode :
2480921
Title :
Research on intelligent diagnosis mechanism facing on complicated system
Author :
Han, Yanling ; Cao, Shouqi ; Yuan, Xiaohua
Author_Institution :
Coll. of Inf., Shanghai Fisheries Univ., Shanghai
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
1790
Lastpage :
1795
Abstract :
By analyzing the characteristic and implication of complicated system, the knowledge structure evolution principle of complicated system was analyzed from the view of coordination control. As the intelligent behavior process based on knowledge, the internal relevance between intelligent diagnosis process and self-organizing was parsed and the self-organizing essence of intelligent diagnosis was researched in depth from three ways of task decomposition, process double restraint relationship and self-organizing process drive based on knowledge chain, which proceeded beneficial investigation for solving intelligent diagnosis of modern complicated manufacture system and equipment.
Keywords :
fault diagnosis; large-scale systems; manufacturing systems; self-adjusting systems; complicated manufacture system; coordination control; intelligent diagnosis mechanism; intelligent diagnosis process; knowledge chain; self-organizing process drive; Aquaculture; Automation; Control systems; Educational institutions; Fault diagnosis; Information analysis; Intelligent control; Intelligent structures; Knowledge engineering; Manufacturing processes; double restrain; intelligent diagnosis; knowledge chain; knowledge structure evolution; self-organizing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593193
Filename :
4593193
Link To Document :
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