Temperature-independent localization algorithm using guided wave interrogation methods

Kevin Hensberry, Narayan Kovvali, Aditi Chattopadhyay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume8695
DOIs
StatePublished - 2013
EventSPIE Conference on Health Monitoring of Structural and Biological Systems 2013 - San Diego, CA, United States
Duration: Mar 11 2013Mar 14 2013

Other

OtherSPIE Conference on Health Monitoring of Structural and Biological Systems 2013
CountryUnited States
CitySan Diego, CA
Period3/11/133/14/13

Fingerprint

Guided Waves
Guided electromagnetic wave propagation
interrogation
Lamb Waves
Lamb waves
Surface waves
Damage
damage
Transducer
Fatigue Crack
Temperature
temperature
Transducers
lugs
transducers
cracks
Unknown
Sensor Fusion
Data Association
Piezoelectric transducers

Keywords

  • Data association
  • Lamb waves
  • Probabilistic localization
  • Structural health monitoring
  • Temperature compensation

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Hensberry, K., Kovvali, N., & Chattopadhyay, A. (2013). Temperature-independent localization algorithm using guided wave interrogation methods. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 8695). [86952A] https://doi.org/10.1117/12.2009885

Temperature-independent localization algorithm using guided wave interrogation methods. / Hensberry, Kevin; Kovvali, Narayan; Chattopadhyay, Aditi.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8695 2013. 86952A.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hensberry, K, Kovvali, N & Chattopadhyay, A 2013, Temperature-independent localization algorithm using guided wave interrogation methods. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 8695, 86952A, SPIE Conference on Health Monitoring of Structural and Biological Systems 2013, San Diego, CA, United States, 3/11/13. https://doi.org/10.1117/12.2009885
Hensberry K, Kovvali N, Chattopadhyay A. Temperature-independent localization algorithm using guided wave interrogation methods. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8695. 2013. 86952A https://doi.org/10.1117/12.2009885
Hensberry, Kevin ; Kovvali, Narayan ; Chattopadhyay, Aditi. / Temperature-independent localization algorithm using guided wave interrogation methods. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8695 2013.
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