DocumentCode :
2307156
Title :
Research on the Fault Diagnosis for Boiler System Based on Fuzzy Neural Network
Author :
Yang, Yu ; Liang, Chen ; Qing, Yang ; Yawei, Zhao
Author_Institution :
Fac. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
Volume :
2
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
128
Lastpage :
132
Abstract :
The fuzzy logic was applied into the neural network and the application of fault diagnosis for boiler system with the integrated fuzzy neural network is investigated on the basis 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 process and testing results about the sample of boiler was given. 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 :
artificial intelligence; boilers; fault diagnosis; fuzzy logic; fuzzy neural nets; power engineering computing; artificial neural network; boiler system; fault diagnosis; fuzzy logic; integrated fuzzy neural network; traditional standard BP network; Application software; Artificial neural networks; Boilers; Error analysis; Fault diagnosis; Fuzzy logic; Fuzzy neural networks; Information science; Software engineering; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3570-8
Type :
conf
DOI :
10.1109/WCSE.2009.380
Filename :
5319695
Link To Document :
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