Temperature-independent localization algorithm using guided wave interrogation methods

Kevin Hensberry, Narayan Kovvali, Aditi Chattopadhyay

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

3 Scopus citations


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 publicationHealth Monitoring of Structural and Biological Systems 2013
StatePublished - 2013
EventSPIE Conference on Health Monitoring of Structural and Biological Systems 2013 - San Diego, CA, United States
Duration: Mar 11 2013Mar 14 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherSPIE Conference on Health Monitoring of Structural and Biological Systems 2013
Country/TerritoryUnited States
CitySan Diego, CA


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

ASJC Scopus subject areas

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


Dive into the research topics of 'Temperature-independent localization algorithm using guided wave interrogation methods'. Together they form a unique fingerprint.

Cite this