Composite Damage Detection Based on Redundant Second-Generation Wavelet Transform and Fractal Dimension Tomography Algorithm of Lamb Wave

Author

Xuefeng Chen ; Xiang Li ; Shibin Wang ; Zhibo Yang ; Binqiang Chen ; Zhengjia He

Author_Institution

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

Volume

62

Issue

5

fYear

2013

fDate

May-13

Firstpage

1354

Lastpage

1363

Abstract

In the purpose of achieving composite structure damage identification and localization of structural health monitoring, a denoising algorithm of redundant second-generation wavelet transform considering neighboring coefficients is selected as the best solution from 18 denoising schemes performed in this paper. Through introducing fractal dimension as a damage-sensitive feature and adopting the probabilistic reconstruction algorithm, the damage status on the composite panel could be identified and located as tomography maps. The practicability of the presented approach is validated in the experiment operating in the composite damage monitoring system.

Keywords

condition monitoring; fractals; tomography; wavelet transforms; composite damage detection; composite structure damage identification; damage-sensitive feature; denoising algorithm; fractal dimension tomography algorithm; lamb wave; probabilistic reconstruction algorithm; redundant second-generation wavelet transform; structural health monitoring; tomography maps; Feature extraction; Monitoring; Noise; Noise reduction; Tomography; Wavelet transforms; Composite; Lamb wave; fractal dimension (FD); redundant second-generation wavelet transform (RSGWT); structural health monitoring (SHM); tomography algorithm;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/TIM.2012.2224277

Filename

6353574