DocumentCode :
2500484
Title :
The research on the fault diagnosis for boiler system based on fuzzy neural network
Author :
Zhao, Yawei ; Chen, Liang ; Yang, Qing
Author_Institution :
Shenyang Ligong Univ., Shenyang
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
8552
Lastpage :
8556
Abstract :
The fuzzy logic was pulled in the neural network and the application of fault diagnosis for boiler system with the integrated fuzzy neural network is researched on the basic of the introductions of the basic principle of artificial neural network (ANN) and the principle of fault diagnosis for boiler system based on neural network. A example of training progress and testing results about the sample of boiler was given. And at last, it is proved that this integrated method can acquire a better result on fault diagnosis for boiler through error analysis compared with the traditional standard BP network.
Keywords :
backpropagation; boilers; fault diagnosis; fuzzy neural nets; mechanical engineering computing; artificial neural network; boiler system; error analysis; fault diagnosis; fuzzy logic; fuzzy neural network; Artificial neural networks; Automation; Boilers; Electronic mail; Fault diagnosis; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Intelligent control; Testing; BP algorithm; boiler system; fault diagnosis; fuzzy neural network;
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.2008.4594273
Filename :
4594273
Link To Document :
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