Structural Monitoring of a Drawbridge in Operation: Signal Analysis

Monitoring large critical infrastructures is a highly complex and costly task. The use of a network of sensors to aid in the detection and identification of potential anomalies is therefore an important step towards easing maintenance effort while maintaining operational soundness. To address this challenge, a monitoring system was developed and installed in a seaport drawbridge. The structural parameters monitored during operation can be used to assess the bridge’s structural behavior. This provides the ability to identify potential anomalies that could lead to its failure at an early stage, allowing for the better planning of maintenance interventions, saving time and money. In this paper, the monitoring system will be presented and the employed signal identification and analysis methods will be described.

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Publication Details

Journal
Signals
Published
2025-05-01
DOI
https://doi.org/10.3390/signals6020021
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Structural Monitoring of a Drawbridge in Operation: Signal Analysis

Susana Dias, Job Santos Silva, Nuno V. Ramos, Pedro J. Sousa et al.
Signals
Structural Health Monitoring Techniques
article

Structural Monitoring of a Drawbridge in Operation: Signal Analysis

Susana Dias, Job Santos Silva, Nuno V. Ramos, Pedro J. Sousa, P.M.G.P. Moreira, Mário Vaz, Paulo J. Tavares
article en

Abstract

Monitoring large critical infrastructures is a highly complex and costly task. The use of a network of sensors to aid in the detection and identification of potential anomalies is therefore an important step towards easing maintenance effort while maintaining operational soundness. To address this challenge, a monitoring system was developed and installed in a seaport drawbridge. The structural parameters monitored during operation can be used to assess the bridge’s structural behavior. This provides the ability to identify potential anomalies that could lead to its failure at an early stage, allowing for the better planning of maintenance interventions, saving time and money. In this paper, the monitoring system will be presented and the employed signal identification and analysis methods will be described.

SignalsVol. 6(2)
Universidade do Porto (PT), Institute of Mechanical Engineering and Industrial Mangement (PT)
Openalex Percentile: Top 91%
Structural Health Monitoring Techniques
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