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Proceedings Paper

Temperature-independent localization algorithm using guided wave interrogation methods
Author(s): Kevin Hensberry; Narayan Kovvali; Aditi Chattopadhyay
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Paper Abstract

This paper examines the current challenges of using Lamb wave interrogation methods to localize fatigue crack damage in a complex metallic structural component in the presence of temperature variations. The goal of this research is to improve damage localization results for a structural component interrogated at an unknown temperature by developing a probabilistic and reference-free framework for estimating Lamb wave velocities. The proposed approach for temperature-independent damage localization involves a model that can describe the change in Lamb wave velocities with temperature, the use of advanced time-frequency based signal processing for damage feature extraction, estimation of the actual Lamb wave velocities from transducer signals, and a Bayesian damage localization framework with data association and sensor fusion. The technique does not require any additional transducers on a component and allows the estimation of the velocities for the actual Lamb waves present in a component. Experiments to validate the proposed method were conducted using an aluminum lug joint interrogated with piezoelectric transducers for a range of temperatures and fatigue crack lengths. Experimental results show the advantages of using a velocity estimation algorithm to improve damage localization for a component interrogated at both known and unknown temperatures.

Paper Details

Date Published: 17 April 2013
PDF: 15 pages
Proc. SPIE 8695, Health Monitoring of Structural and Biological Systems 2013, 86952A (17 April 2013);
Show Author Affiliations
Kevin Hensberry, Arizona State Univ. (United States)
Narayan Kovvali, Arizona State Univ. (United States)
Aditi Chattopadhyay, Arizona State Univ. (United States)

Published in SPIE Proceedings Vol. 8695:
Health Monitoring of Structural and Biological Systems 2013
Tribikram Kundu, Editor(s)

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