Characteristics of Structure Small Damage Detection under Strong Noise Background of Wavelet of Potter Syndrome

Article Preview

Abstract:

This paper presents a study on the effect of input noise on the detect index of structural damage. The main procedures include that, for some structures with small damage, the different dynamics response are obtained under the given input function and various input noise level, and then, the structural damage index is constructed using the energy spectrum of the sub-signal decomposed by wavelet analysis. Results show that the relationship between the different input noise level and the damage index is nonlinear, and some optimal signal/noise ratio can be found in order to obtain the most sensitive damage index to small structural damage.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

27-31

Citation:

Online since:

September 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Long yu, Jiesheng jiang, Yunju yan, Qin liu , Eigenvalue Perturbation Theory with Applications to Small Structural Damage Detection[J], CHINESE JOURNAL OF APPLIED MECHANICS, 2006, 23(2), 255-258.

Google Scholar

[2] Huanguo Chen, Yunju Yan, Jiesheng Jiang, Qin Liu, Application of Hilbert-Huang Transform to Damage Detection for Wingbox Section [J], JOURNAL OF VIBRATION AND SHOCK, 2006, 25(3), 81-84.

Google Scholar

[3] Aijun Hu, Lijie Tian , Guiji Tang, Weizhen Wang, Fault Diagnosis of Rotation Machine Based on Wavelet De-Noising Neural Network[J], NOISE AND VIBRATION CONIROL, 2005, 5, 24-27. JOURNAL OF HYDROELECTRIC ENGINEERING, 2003, 3, 114-120.

Google Scholar

[4] Wuke Liang, Xing Luo, Yanning Zhang, Rong Jia, Singnal pretreatment of vibrant fault diagnosis system of waterpower set [J], Journal of Hydroelectric Engineering, 2003, 3, 114-120.

Google Scholar

[5] Huanguo Chen, Yunju Yan, Jiesheng Jiang, Ziyan Wu , Damage Detection of Composite Wingbox Structures Using Improved HILbert-huang Transform[J], Journal of Mechanical Strength2007, 29 (2) 175~179.

Google Scholar

[6] Huanguo Chen, , Jiesheng Jiang, Yunju Yan, Long Yu, Wavelet Analysis in Damage Detection for Laminated Composite Structure[J], CHINESE JOURNAL OF APPLIED MECHANICS, 2004, 21(4), 140-142.

Google Scholar

[7] Xiaojing Wu, Weiming Guo, Wensheng Cai, Xueguang Shao, Zhongxiao Pan, A method Based on Stochastic Resonance for The Detection of Weak Analytical Signal, 2003, Talanta 61 863-869.

DOI: 10.1016/s0039-9140(03)00371-0

Google Scholar

[8] Niaoqing Hu, Xisen Wen, Min Chen, The Application of Stochastic Resonance Theory for Dete cting Weak Signals in Heavy Background Noise[J], JOURNAL OF NATIONAL UNIVERSITY OF DEEENSE TECHNOLOGY , 2001, 23(4), 40-44.

Google Scholar

[9] Hengjiang Zhu, Rong Li, Xiaodong Wen, Extracting Information Signal Under Noise by Stochastic Resonance[J], ACTAPHYSICA SINICA, 2003, 52(10), 2404-2408.

Google Scholar