Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32573
Title: A signal processing approach for elastic wave-based structural health monitoring using active piezoelectrics
Authors: Yang, C
Su, Z 
Ye, L
Zhou, L 
Hodgson, P
Keywords: Damage identification
Signal processing
Structural health monitoring
Time of flight
Wave propagation
Wavelet transform
Issue Date: 2007
Publisher: Scientific.Net
Source: Key engineering materials, 2007, v. 334-335 ii, p. 1141-1144 How to cite?
Journal: Key engineering materials 
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.
URI: http://hdl.handle.net/10397/32573
ISSN: 1013-9826
EISSN: 1662-9795
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