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A Signal Processing Approach for Elastic Wave-Based Structural Health Monitoring Using Active Piezoelectrics

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Abstract:

A series of digital frequency filters (DFFs) were designed to screen diverse noises and the spectrographic analysis was conducted to isolate complex boundary reflection, which obscures the damage-induced signals. The scale-averaged wavelet power (SAP) technique was applied to enhance the measurement accuracy of Time of Flight (TOF). As an example, the propagation characteristics of elastic wave in a structural beam of square cross-section were analyzed using such an approach and verified experimentally and numerically, with the consideration of the complicated wave scatter caused by the non-ignorable section dimensions.

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Info:

Periodical:

Key Engineering Materials (Volumes 334-335)

Pages:

1141-1144

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.334-335.1141

Citation:

Cite this paper

Online since:

March 2007

Authors:

Chun Hui Yang, Zhong Qing Su, Lin Ye, Li Min Zhou, Peter Hodgson

Keywords:

Damage Identification, Signal Processing, Structural Health Monitoring (SHM), Time-of-Flight (TOF), Wave Propagation, Wavelet Transform (WT)

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© 2007 Trans Tech Publications Ltd. All Rights Reserved

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