: The monitoring of the structural health of infrastructures is a very important topic in structural engineering, but unfortunately, there are few established techniques that are applicable in a wide range of situations. In this paper, we present a new method that adapts image analysis tools and methodologies, taken from the field of computer vision, and applies them to the monitoring signals of a railway bridge. We show that our method correctly identifies changes in the structural health of the bridge with very high precision, thus providing a better, simpler, and more general alternative to current methodologies used in the field.
Anomaly detection in railway bridges using imaging techniques / Russo, Paolo; Schaerf, Marco. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - 13:1(2023). [10.1038/s41598-023-30683-z]
Anomaly detection in railway bridges using imaging techniques
Russo, Paolo
Primo
Methodology
;Schaerf, MarcoUltimo
Conceptualization
2023
Abstract
: The monitoring of the structural health of infrastructures is a very important topic in structural engineering, but unfortunately, there are few established techniques that are applicable in a wide range of situations. In this paper, we present a new method that adapts image analysis tools and methodologies, taken from the field of computer vision, and applies them to the monitoring signals of a railway bridge. We show that our method correctly identifies changes in the structural health of the bridge with very high precision, thus providing a better, simpler, and more general alternative to current methodologies used in the field.File | Dimensione | Formato | |
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Russo_Anomaly_2023.pdf
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Note: DOI https://doi.org/10.1038/s41598-023-30683-z
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