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
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;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5486020
