A Two-Step Structural Damage Detection Approach Based on Wavelet Packet Analysis and Neural Network

Author

Diao, Yan-song ; Li, Hua-jun ; Wang, Yan

Author_Institution

Civil Eng. Coll., Qingdao Technol. Univ.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

3128

Lastpage

3133

Abstract

In this paper, a two-step structural damage detection approach based on wavelet packet analysis is presented. Firstly, the location of the damage member is determined by probabilistic neural network according to the wavelet packet node energy change. Secondly, the damage extent of the damaged member is determined by back-propagation network according to the wavelet packet node energy. The results of the numerical simulation demonstrate that the approach can detect the structural damage with good robustness

Keywords

backpropagation; neural nets; structural engineering computing; wavelet transforms; backpropagation network; numerical simulation; probabilistic neural network; structural damage detection approach; wavelet packet analysis; Civil engineering; Cybernetics; Educational institutions; Frequency; Machine learning; Monitoring; Neural networks; Numerical simulation; Robustness; Shape; Wavelet analysis; Wavelet packets; Damage detection; back-propagation network; probabilistic neural network; wavelet packet analysis; wavelet packet node energy change;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258404

Filename

4028603