DocumentCode :
548137
Title :
Model based fault detection of nonlinear systems using singleton interval type-2 fuzzy sets
Author :
Ghiasi, T.S. ; Pour, H.Zarabadi ; Shoorehdeli, M.Aliyari
Author_Institution :
University of Ghazvin, Iran
fYear :
2011
fDate :
17-19 May 2011
Firstpage :
1
Lastpage :
1
Abstract :
Summary from only given. Fault detection using a novel approach based singleton interval type 2 fuzzy sets is presented in this paper. The main idea of introduced method is based on the concept of type-2 fuzzy sets. Residual signal could be constructed by using this concept and evaluation of it can be done as well. The benefits of the proposed method have been presented by a well-known benchmark problem. Simulation results depict that the proposed fault detection is highly effective tool in fast Fault Detection of nonlinear systems.
Keywords :
Fault Detection; Interval Type-2 Fuzzy; Singleton Type-2 fuzzy; Type-2 Fuzzy Logic system; Type-2FNN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2011 19th Iranian Conference on
Conference_Location :
Tehran
Print_ISBN :
978-1-4577-0730-8
Type :
conf
Filename :
5956028
Link To Document :
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