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

Marco Manso, Mourad Bezzeghoud

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.

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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