On-site Sensor Noise Evaluation and Detectability in Low Cost Accelerometers

Marco Manso, Mourad Bezzeghoud

2021

Abstract

Seismic networks help understanding the phenomena related with seismic events. These networks are employing low-cost accelerometers in order to achieve high-density deployments enabling accurate characterisation (high resolution) of strong earthquake motion and early warning capabilities. In order to assess the applicability of low-cost accelerometers in seismology, it is essential to evaluate their noise characteristics and identify their detectability thresholds. In this paper, a method is proposed that provides an indication of sensor noise, being demonstrated on different sensors. The method is designed to adapt to a sensor’s characteristics while on-site and in-operation, thus removing potentially related logistical and maintenance bottlenecks.

Paper Citation

in Harvard Style

Manso M. and Bezzeghoud M. (2021). On-site Sensor Noise Evaluation and Detectability in Low Cost Accelerometers.In Proceedings of the 10th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-489-3, pages 100-106. DOI: 10.5220/0010319001000106

in Bibtex Style

@conference{sensornets21,
author={Marco Manso and Mourad Bezzeghoud},
title={On-site Sensor Noise Evaluation and Detectability in Low Cost Accelerometers},
booktitle={Proceedings of the 10th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2021},
pages={100-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010319001000106},
isbn={978-989-758-489-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - On-site Sensor Noise Evaluation and Detectability in Low Cost Accelerometers
SN - 978-989-758-489-3
AU - Manso M.
AU - Bezzeghoud M.
PY - 2021
SP - 100
EP - 106
DO - 10.5220/0010319001000106