@article {LANGLET:2024:0736-2935:9236,
title = "Passive defect localization on a vibrating plate using Matched-Field Processing",
journal = "INTER-NOISE and NOISE-CON Congress and Conference Proceedings",
parent_itemid = "infobike://ince/incecp",
publishercode ="ince",
year = "2024",
volume = "270",
number = "2",
publication date ="2024-10-04T00:00:00",
pages = "9236-9242",
itemtype = "ARTICLE",
issn = "0736-2935",
url = "https://ince.publisher.ingentaconnect.com/content/ince/incecp/2024/00000270/00000002/art00028",
doi = "doi:10.3397/IN_2024_4215",
author = "LANGLET, Th{\’e}o and RAKOTONARIVO, Sandrine and MICHEL, Fr{\’e}d{\’e}ric and MATTEI, Pierre-Olivier and C{\^O}TE, Renaud and SARKAR, Jit and KUPERMAN, William",
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.",
}