Experimental investigation of structural modal identification using pixels intensity and motion signals from video-based imaging devices: performance, comparison and analysis - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2021

Experimental investigation of structural modal identification using pixels intensity and motion signals from video-based imaging devices: performance, comparison and analysis

Abstract

This paper aims to experimentally evaluate a simplified vision-based method for structural health monitoring (SHM). Contrary to conventional solutions that rely on extracting motions through image processing, this paper proposes to conduct the SHM analysis by the direct processing of pixel brightness without extracting the motion signals beforehand. After some pre-processing steps, it is shown that the brightness data reveal essential information about the dynamic characteristics of the monitored vibrating structure. Furthermore, the low-level information of the pixel is compensated by an efficient selection of the so called "active pixels" throughout the image time flow. Finally, a subspace system identification-based method is applied to the brightness data, so that the modal parameters with uncertainty bounds are estimated within a large range of model orders displayed in a stabilization diagram. The experiment database consists of image time flows of a cantilever beam excited by a shake table driven by a band limited random noise. Modal vibrations range from 1 to 173 Hz.
Fichier principal
Vignette du fichier
SPIE_paper.pdf (3.17 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-03276900 , version 1 (02-07-2021)

Identifiers

Cite

Boualem Merainani, Bian Xiong, Vincent Baltazart, Jean Dumoulin, Michael Döhler, et al.. Experimental investigation of structural modal identification using pixels intensity and motion signals from video-based imaging devices: performance, comparison and analysis. SPIE Optical Metrology 2021, Jun 2021, Virtual, United States. ⟨10.1117/12.2595019⟩. ⟨hal-03276900⟩
167 View
177 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More