SHM System Based on ANN for Aeronautical Applications

Abstract:

Article Preview

In the present work a Structural Health Monitoring (SHM) system based on the use of Artificial Neural Network (ANN) method is presented that is suitable for aeronautical applications. The proposed methodology can be applied for the case of stiffened panels that are typical in aeronautical structures. The effect of sensor network layout, as well as noise applied during the training and prediction phase of the ANN application, is examined.

Info:

Periodical:

Edited by:

E. Hristoforou and D.S. Vlachos

Pages:

129-133

DOI:

10.4028/www.scientific.net/KEM.495.129

Citation:

C. Katsikeros et al., "SHM System Based on ANN for Aeronautical Applications", Key Engineering Materials, Vol. 495, pp. 129-133, 2012

Online since:

November 2011

Export:

Price:

$35.00

[1] J. Guan, Z. Shen, J. Lu and X. Ni, Surface crack detection for Al plate using the surface acoustic waves and neural network identification., Proc. SPIE 5629 (2005) , p.466.

[2] Y. Lu, L. Ye, Z. Su, L. Zhou and L. Cheng, J Intell Mat Syst Struct Vol. 20 (2009), p.39.

[3] S. Hideki, F. Shin-Etsu, O. Tomonaga, T. Nobuo and Y. Jr. Toshimitsu, Appl Comp Mat, Vol. 13, (2006).

[4] Health Monitoring for Airframe Structural Characterization, NASA/CR-2002-211428.

[5] C.E. Katsikeros and G.N. Labeas, Mech Syst and Sign Proc Vol. 23 (2009).

In order to see related information, you need to Login.