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