Passive defect localization on a vibrating plate using Matched-Field Processing

Passive defect localization on a vibrating plate using Matched-Field Processing (MFP). The aim of this study is to investigate the use of MFP for passive localization of a local change in parameter of a vibrating shell in the modal regime. Matched-Field Processing is a beamforming method that uses the correlation between the recorded data and a controllable digital model of wave propagation (replica) to locate a source. Vibration measurements were conducted on an aluminum plate using a laser vibrometer. The plate was tested both with and without damage (added mass) while being excited by a shaker. Replicas were created by performing modal analysis on measurements taken from the undamaged structure. Matched-Field Processing is applied directly to the measured data to locate the active source (shaker) and to the residues (field difference between undamaged and damaged states) to locate a local variation of the parameter (defect). The method's feasibility is also being explored for passive measurements in modal analysis and residue computation.

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Publication Details

Journal
NOISE-CON proceedings
Published
2024-10-04
DOI
https://doi.org/10.3397/in_2024_4215
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
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article

Passive defect localization on a vibrating plate using Matched-Field Processing

Théo Langlet, Renaud Côté, Pierre‐Olivier Mattei, Jit Sarkar et al.
NOISE-CON proceedings
Industrial Vision Systems and Defect Detection
article

Passive defect localization on a vibrating plate using Matched-Field Processing

Théo Langlet, Renaud Côté, Pierre‐Olivier Mattei, Jit Sarkar, Sandrine T. Rakotonarivo, William KUPERMAN, F. Michel
article en

Abstract

Passive defect localization on a vibrating plate using Matched-Field Processing (MFP). The aim of this study is to investigate the use of MFP for passive localization of a local change in parameter of a vibrating shell in the modal regime. Matched-Field Processing is a beamforming method that uses the correlation between the recorded data and a controllable digital model of wave propagation (replica) to locate a source. Vibration measurements were conducted on an aluminum plate using a laser vibrometer. The plate was tested both with and without damage (added mass) while being excited by a shaker. Replicas were created by performing modal analysis on measurements taken from the undamaged structure. Matched-Field Processing is applied directly to the measured data to locate the active source (shaker) and to the residues (field difference between undamaged and damaged states) to locate a local variation of the parameter (defect). The method's feasibility is also being explored for passive measurements in modal analysis and residue computation.

NOISE-CON proceedingsVol. 270(2)
Scripps Institution of Oceanography (US), Aix-Marseille Université (FR), CEA Cadarache (FR), Centrale Méditerranée (FR), Institut de Recherche sur les Systèmes Nucléaires pour la production d'Energie bas carbone (FR)
Openalex Percentile: Top 75%
Industrial Vision Systems and Defect Detection
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Passive defect localization on a vibrating plate using Matched-Field Processing — Théo Langlet, Renaud Côté, et al. · NOISE-CON proceedings (2024) | TGRS Research Map | TGRS