Application of Improved BPNN to Damage Detection of Composite Materials

Xiao Ma Dong

doi:10.4028/www.scientific.net/KEM.467-469.1097

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 467-469Application of Improved BPNN to Damage Detection...

Application of Improved BPNN to Damage Detection of Composite Materials

Abstract:

A dynamic method based on improved algorithm BP neural network for damage identification of composite materials was proposed. By using wavelet series, the features of signals were extracted and input to improved algorithm BP neural network for training the network and identifying the damages. Finally, the experiment results show that this proposed method can exactly identify the faults of composite materials.

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Periodical:

Key Engineering Materials (Volumes 467-469)

Pages:

1097-1101

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.467-469.1097

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Online since:

February 2011

Authors:

Xiao Ma Dong

Keywords:

Composite Material, Damage Detection, Improved BPNN

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