Titlebook: Intelligent Quality Assessment of Railway Switches and Crossings; Roberto Galeazzi,Hilmar Kjartansson Danielsen,Ilma Book 2021 Springer Na

Bravura

DEAF

Improving Switches and Crossings Performance and Reliabilityr technical analysis and then liaising with local engineers to implement solution for site specific failures and, where applicable, working with manufacturers to optimise their products based on improved engineering requirements.

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Intercept

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Monitoring of Switches and Crossings/Tracks Using Smart Sensors sensors architecture and communication, and to identify optimum sensor location along the track. The system was tested in a lab environment before the inbuilt technology was mounted in field demonstration. The system was installed in track infrastructure and the different stages and levels were tes

Dorsal-Kyphosis

Labelling the State of Railway Turnouts Based on Repair Recordscaptured from the recording car. The difference in the physical properties illustrated by the geometric data indicates that the labelling is a good indicator of the relative condition of the turnout. When the data are labelled, supervised learning can be used to optimize the predictive power of mach

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Deep Learning for Automatic Railway Maintenanceit is shown that the computer vision system finds defects, with classification rates of 84% for surface defects, 71% for problematic isolation joints and 74% for non-problematic isolation joints, corresponding to a macro F1-score of 81.5%. This could potentially reduce maintenance cost through autom

botany

The Effects of Renewal and Tamping on Ballast and Track Geometry in Turnoutssh between the effects of renewal/tamping on different wavelength contents of the geometry measurements and hence it quantifies the effects on ballast degradation. Furthermore, the influencing factors on renewal/tamping effect are specified and their contributions are quantified.

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Statistical Approach to Model Track Dynamics Towards the Monitoring of Railway Turnouts different types of trains, and models are built for the switch panel, the closure/crossing panel and a transition zone. Further, it is shown that the degradation of track components is captured through the recursive generation of such statistical models, which can then become the basis for the development of condition monitoring systems.