Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Vibration Data Processing for Bedload Monitoring in Underwater Environments

Version 1 : Received: 10 July 2020 / Approved: 12 July 2020 / Online: 12 July 2020 (12:27:37 CEST)

A peer-reviewed article of this Preprint also exists.

Vasile, G. Vibration Data Processing for Bedload Monitoring in Underwater Environments . Remote Sens. 2020, 12, 2797. Vasile, G. Vibration Data Processing for Bedload Monitoring in Underwater Environments †. Remote Sens. 2020, 12, 2797.

Journal reference: Remote Sens. 2020, 12, 2797
DOI: 10.3390/rs12172797

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.

Subject Areas

hierarchical agglomeration; complex vibration spectra; bedload monitoring; underwater acoustics

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