Cases of sensor fault assessment

E. Lydakis; S. D. R. Amador; H. Koss; M. Tarpø; R. Brincker

doi:10.1088/1742-6596/2647/18/182025

Cases of sensor fault assessment

E. Lydakis^*, S. D. R. Amador, H. Koss, M. Tarpø, R. Brincker

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › Research › peer-review

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Abstract

The field of structural health monitoring (SHM) is based on collecting data, and according to that, useful information about the monitored structures is obtained. Therefore, it is essential that the signals from the sensors used in the monitoring campaign can be trusted. However, some of these sensors will sometimes fail or will, at least, pick up excessive noise that might influence the quality of the information extracted from the data. In this paper, a new technique of sensor fault detection is illustrated that is based on constraints between multiple output signals from the monitored structures.

Original language	English
Article number	182025
Book series	Journal of Physics: Conference Series
Volume	2647
Issue number	18
Number of pages	8
ISSN	1742-6588
DOIs	https://doi.org/10.1088/1742-6596/2647/18/182025
Publication status	Published - 2024
Event	EURODYN 2023: XII International Conference on Structural Dynamics - TU Delft, Delft, Netherlands Duration: 2 Jul 2023 → 5 Jul 2023

Conference

Conference	EURODYN 2023
Location	TU Delft
Country/Territory	Netherlands
City	Delft
Period	02/07/2023 → 05/07/2023

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title = "Cases of sensor fault assessment",

abstract = "The field of structural health monitoring (SHM) is based on collecting data, and according to that, useful information about the monitored structures is obtained. Therefore, it is essential that the signals from the sensors used in the monitoring campaign can be trusted. However, some of these sensors will sometimes fail or will, at least, pick up excessive noise that might influence the quality of the information extracted from the data. In this paper, a new technique of sensor fault detection is illustrated that is based on constraints between multiple output signals from the monitored structures.",

author = "E. Lydakis and Amador, {S. D. R.} and H. Koss and M. Tarp{\o} and R. Brincker",

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AU - Lydakis, E.

AU - Amador, S. D. R.

AU - Koss, H.

AU - Tarpø, M.

AU - Brincker, R.

PY - 2024

Y1 - 2024

N2 - The field of structural health monitoring (SHM) is based on collecting data, and according to that, useful information about the monitored structures is obtained. Therefore, it is essential that the signals from the sensors used in the monitoring campaign can be trusted. However, some of these sensors will sometimes fail or will, at least, pick up excessive noise that might influence the quality of the information extracted from the data. In this paper, a new technique of sensor fault detection is illustrated that is based on constraints between multiple output signals from the monitored structures.

AB - The field of structural health monitoring (SHM) is based on collecting data, and according to that, useful information about the monitored structures is obtained. Therefore, it is essential that the signals from the sensors used in the monitoring campaign can be trusted. However, some of these sensors will sometimes fail or will, at least, pick up excessive noise that might influence the quality of the information extracted from the data. In this paper, a new technique of sensor fault detection is illustrated that is based on constraints between multiple output signals from the monitored structures.

U2 - 10.1088/1742-6596/2647/18/182025

DO - 10.1088/1742-6596/2647/18/182025

M3 - Conference article

AN - SCOPUS:85197819278

SN - 1742-6588

VL - 2647

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

IS - 18

M1 - 182025

T2 - EURODYN 2023

Y2 - 2 July 2023 through 5 July 2023

ER -

Cases of sensor fault assessment

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