DocumentCode :
1696380
Title :
Modeling and fault diagnosis for coupled-tank based on rough set theory
Author :
Yun, Gao
Author_Institution :
Sch. of Electr. & Control Eng., Xi´´an Univ. of Sci. & Technol., Xi´´an, China
fYear :
2010
Firstpage :
5702
Lastpage :
5707
Abstract :
Applying the rough set theory (RST), the available knowledge or rules can be extracted from original data. According to this idea, an original information table is constructed by the sampling data from a coupled-tank system, the rule set of the model is obtained through processing of discretization, reduction of condition attributes, rides extraction, completization, and so on. The rough set model (RSM) of the system is designed and verified. Testing results state that the RSM built is valid. It can be used to detect a fault of the coupled-tank system, and the detecting result is given out.
Keywords :
fault diagnosis; knowledge acquisition; rough set theory; condition attributes; coupled-tank system; fault diagnosis; rides extraction; rough set theory; coupled-tank; fault diagnosis; rough set model; rough set theory; rule set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5554782
Filename :
5554782
Link To Document :
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