Application of Improved BPNN to Damage Detection of Composite Materials

Abstract:

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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.

Info:

Periodical:

Key Engineering Materials (Volumes 467-469)

Edited by:

Dehuai Zeng

Pages:

1097-1101

DOI:

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

Citation:

X. M. Dong "Application of Improved BPNN to Damage Detection of Composite Materials", Key Engineering Materials, Vols. 467-469, pp. 1097-1101, 2011

Online since:

February 2011

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Price:

$35.00

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