DocumentCode :
2503956
Title :
Intellingent fault diagnosis based on FNN
Author :
Chang, Jibin
Author_Institution :
Chongqing Univ. of Sci. & Technol., Chongqing
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
2454
Lastpage :
2459
Abstract :
In order to diagnose prevent and remove the failure of the running equipment, we must use effectual diagnose measure. In this study, By the analysis on the fuzzy theory and the ultimatum of the ANN, establish the fault diagnosis model based on the ANN and FNN. Using the same training sample and examine sample in the emulation based of the ANN and FNN, the result prove that FNN have faster convergent rate and more exact diagnose power than ANN.
Keywords :
fault diagnosis; fuzzy neural nets; ANN; fuzzy theory; intelligent fault diagnosis; Automation; Emulation; Fault diagnosis; Fuzzy control; Fuzzy neural networks; Intelligent control; MATLAB; Mathematical model; ANN; FNN; fault diagnosis;
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.2008.4594475
Filename :
4594475
Link To Document :
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