Author: Ivano La Paglia
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Integration of Physics-Informed and Data-Driven approaches to monitor the railway infrastructure
The rapid development of Artificial Intelligence (AI) has enabled powerful tools for processing large-scale data and extracting meaningful insights across multiple engineering fields. In railway engineering, AI techniques are increasingly being applied to infrastructure monitoring, with the goal of improving safety, reliability, and cost efficiency by detecting defects and predicting maintenance needs more effectively than
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Extension of the Unknown Input Observer algorithm for the identification of lateral railway trackirregularity
To ensure the safety of the railway network, track geometry is periodically inspected by Track Recording Vehicles (TRVs), which are special purpose vehicles typically equipped with inertial and optical sensors. Given their high operating costs, new strategies have been proposed in the latest years to support the condition monitoring of railway infrastructure, relying on instrumented