DocumentCode
2094728
Title
Aerocraft fault diagnosis based on wavelet neural network
Author
Hou Xia ; Zhang Junfeng ; Liu Guohai
Author_Institution
Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
fYear
2010
fDate
29-31 July 2010
Firstpage
2366
Lastpage
2369
Abstract
Based on the strong learning ability and generalization characteristics of wavelet neural network, the familiar failure of aerocraft is detected seperately on line by normal wavelet neural network and BP neural network. The simulation result shows this method of aerocraft fault diagnosis with wavelet neural network is feasible, effective and preferable.
Keywords
aircraft; backpropagation; fault diagnosis; neural nets; wavelet transforms; BP neural network; aerocraft fault diagnosis; wavelet neural network; Adaptation model; Artificial neural networks; Biological neural networks; Brain modeling; Computational modeling; Electronic mail; Fault diagnosis; BP Neural Network; Fault Diagnosis; Wavelet Neural Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5572945
Link To Document