TY - GEN
T1 - Temperature-independent localization algorithm using guided wave interrogation methods
AU - Hensberry, Kevin
AU - Kovvali, Narayan
AU - Chattopadhyay, Aditi
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Data association
KW - Lamb waves
KW - Probabilistic localization
KW - Structural health monitoring
KW - Temperature compensation
UR - http://www.scopus.com/inward/record.url?scp=84878544263&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84878544263&partnerID=8YFLogxK
U2 - 10.1117/12.2009885
DO - 10.1117/12.2009885
M3 - Conference contribution
AN - SCOPUS:84878544263
SN - 9780819494788
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Health Monitoring of Structural and Biological Systems 2013
T2 - SPIE Conference on Health Monitoring of Structural and Biological Systems 2013
Y2 - 11 March 2013 through 14 March 2013
ER -