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Article

Vibration Data Processing for Bedload Monitoring in Underwater Environments

This version is not peer-reviewed.

Submitted:

10 July 2020

Posted:

12 July 2020

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Abstract
This paper proposes a novel data processing framework dedicated to bedload monitoring in underwater environments. After calibration, by integration the total energy in the nominal bandwidth, the proposed experimental setup is able to accurately measure the mass of individual sediments hitting the aluminum plate. This require a priori knowledge of the vibration trasients in order to match a predefined dictionary. Based on unsupervised hierarchical agglomeration of complex vibration spectra, the proposed algorithms allow to accurately localize the transients corresponding to the shocks created by sediment impacts on a steel plate.
Keywords: 
hierarchical agglomeration; complex vibration spectra; bedload monitoring; underwater acoustics
Subject: 
Computer Science and Mathematics  -   Computer Science
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.

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