Tag: Railway bridges
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Fault Detection and Management in Sensors for Structural Health Monitoring of Railway Bridges
fault detection, permanent monitoring system, Railway bridges, sensors fault, structural health monitoringStructural health monitoring (SHM) of railway bridges heavily relies on data collected from sensor networks (accelerometers, strain gauges, data acquisition systems). However, technical faults in sensors – such as electrical failures, connection errors, drift, or hardware malfunctions – may compromise the reliability of the measurements. In some cases, fault-induced signals can be mistakenly interpreted as
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Drive-by techniques for railway bridge structural health monitoring
Drive-by approaches aim to assess bridge structural health status exploiting on-board train measurements. Precisely, damage occurrence on the bridge can be reflected in the dynamic interaction between the train and the bridge itself, and thus in the train response. The focus of this thesis is to improve previously developed signal processing procedures to develop and
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Data-Driven Structural Health Monitoring of Railway Bridges through Signal Decomposition Methods
Anomaly detection, Machine Learning, Railway bridges, Signal processing, structural health monitoringContacts: Viviana Giorgi, Gabriele Cazzulani, Claudio Somaschini Structural health monitoring of bridges and viaducts is crucial to ensure safety and operational reliability. A promising approach relies on the analysis of acceleration signals recorded during train passages, which contain valuable information about the structural dynamic state. However, extracting robust diagnostic indicators from such high-frequency signals is challenging due to