Lamb wave signals for damage detection using a probability-based imaging algorithm

Y. Lu, L. Ye, D. Wang, X. Wang, Zhongqing Su

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Identification of multiple notches in an aluminium plate was investigated with the aid of probability-based imaging evaluation of Lamb wave signals activated and captured by a piezoelectric sensor network. A signal processing algorithm featuring signal synchronization and correlation is proposed to facilitate the extraction of damage-scattered waves, by the means of which the corresponding arrival times of the scattered waves are obtained. Using a virtually-meshed grid in the plate, an image with respect to the probability of the arrival time at individual nodes is achieved, indicating the location of damage as perceived by individual actuator-sensor paths. Compromised and conjunctive data fusion techniques are applied to aggregate the images for all engaged actuator-sensor paths, to provide a complete appraisal of the location of damage. The diagnostic results demonstrate that the proposed approach is capable of identifying multiple notches with good accuracy in terms of their position.
Original languageEnglish
Title of host publicationStructural Health Monitoring 2009
Subtitle of host publicationFrom System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
PublisherDEStech Publications
Pages1272-1279
Number of pages8
Volume2
ISBN (Electronic)9781605950075
Publication statusPublished - 1 Jan 2009
Event7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009 - Stanford University, Stanford, United States
Duration: 9 Sep 200911 Sep 2009

Conference

Conference7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009
Country/TerritoryUnited States
CityStanford
Period9/09/0911/09/09

ASJC Scopus subject areas

  • Health Information Management
  • Computer Science Applications

Cite this