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