In this work, we summarize the results of the Trenitalia project during which we developed an inspection robot for the dynamic interrogation of the railway pantograph structure. Deep damage detection and statistical confidence were achieved by including nonlinear behavior and uncertainties. An extensive experimental campaign demonstrates the suitability of a first prototype to achieve damage diagnosis for different damage scenarios at the 95% confidence.
Toward early detection of faults in the railway pantograph structure: the Trenitalia project
Giancarlo Santamato
;Domenico Chiaradia;Massimiliano Solazzi;Antonio Frisoli
2023-01-01
Abstract
In this work, we summarize the results of the Trenitalia project during which we developed an inspection robot for the dynamic interrogation of the railway pantograph structure. Deep damage detection and statistical confidence were achieved by including nonlinear behavior and uncertainties. An extensive experimental campaign demonstrates the suitability of a first prototype to achieve damage diagnosis for different damage scenarios at the 95% confidence.File in questo prodotto:
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IRIM_2023_Pantografo.pdf
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