Composite damage identification based on lamb wave and redundant second generation wavelet

Author

Li Xiang ; Chen Xuefeng ; Yang Zhibo ; Zhu Xiaojun

Author_Institution

State Key Lab. for Manuf. Syst. Eng., Xi´an Jiaotong Univ., Xi´an, China

fYear

2012

fDate

13-16 May 2012

Firstpage

2216

Lastpage

2220

Abstract

Aiming at achieving composite materials damage identification of Structure Health Monitoring (SHM), an preprocessing algorithm of Redundant Second Generation Wavelet (RSGW) considering neighboring coefficients is introduced, which can denoises Lamb wave signals from noise flooding and structure complexity conditions for damage features extraction and further calculations. The practicability is validated through experiment operated in composite damage monitoring system.

Keywords

acoustic signal processing; composite materials; condition monitoring; feature extraction; signal denoising; structural engineering; surface acoustic waves; Lamb waves; RSGW; SHM; composite materials damage identification; damage feature extraction; noise flooding; noise structure complexity; redundant second generation wavelet; signal denoising; structure health monitoring; Feature extraction; Laminates; Monitoring; Noise reduction; Signal processing algorithms; Signal to noise ratio; Wavelet coefficients; Lamb wave; SHM; composites; denoising; redundant second generation wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International

Conference_Location

Graz

ISSN

1091-5281

Print_ISBN

978-1-4577-1773-4

Type

conf

DOI

10.1109/I2MTC.2012.6229254

Filename

6229254