DocumentCode
518319
Title
Research on damage detection of composite materials based on RBFNN
Author
Xiaoma, Dong ; Qingzhen, Sun
Author_Institution
Sch. of Civil Eng. & Archit., Zhengzhou Inst. Of Aeronaut. Ind. Manage., Zhengzhou, China
Volume
1
fYear
2010
fDate
16-18 April 2010
Abstract
A dynamic method based on hybrid algorithm RBFNN for damage identification of composite materials was proposed. By using wavelet series, the features of signals were extracted and input to hybrid algorithm RBFNN for training the network and identifying the damages. Finally, the experiment results show that this method can exactly identify the faults of composite materials.
Keywords
composite materials; radial basis function networks; structural engineering computing; wavelet transforms; composite materials damage detection; hybrid algorithm RBFNN; radial basis function neural network; wavelet series; Aerodynamics; Aerospace industry; Arithmetic; Civil engineering; Composite materials; Engineering management; Fault diagnosis; Industrial training; Management training; Signal processing; RBFNN; composite material; damage detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5486020
Filename
5486020
Link To Document