DocumentCode :
2160155
Title :
Characteristics of Detect Index for Structural Small Damage Based on Wavelet Analysis Under Strong Background Noise
Author :
Liang, Rongna ; Yan, Yunju ; Xi, Zhuyou
Author_Institution :
Sch. of Mech., Northwestern Polytech. Univ., Xi´´an, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
4
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.
Keywords :
signal processing; structural engineering; vibrations; wavelet transforms; background noise; input function; input noise level; structural damage detect index; sub-signal decomposition; wavelet analysis; Automotive engineering; Background noise; Noise level; Signal analysis; Signal processing; Signal to noise ratio; Vehicle detection; Vehicle dynamics; Wavelet analysis; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5304279
Filename :
5304279
Link To Document :
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