Requirements and conditions for advanced diagnostic systems and software for railway infrastructure
https://doi.org/10.46973/0201-727X_2024_1_141
Abstract
The purpose of the study is to show the benefits of providing and unifying
the main characteristics of multifunctional diagnostic complexes (MDC), to provide algorithmic, software and hardware, the elements of which can be held in various types of rolling stock, while forming an almost continuous monitoring section of railway tracks.
A new approach is proposed based on the aggregation of mathematical and software combining the mathematical apparatus for processing arrays of quasi-random data and neural network models, which would allow limiting the volume of training samples with sufficient accuracy of processing both graphical and tabular information obtained during the operation of track measuring devices on railways.
Scientific novelty includes issues of design and development of algorithmic and mathematical software; the resource will be able to work with the latest information from various diagnostic tools and software and hardware systems.
About the Authors
V. V. Solovyov
Russian Open Academy of Transport of the Russian University of Transport
(RUT (MIIT))
Russian Federation
Russian Federation
Vladislav Viktorovich Solovyov, Lecturer
Chair «Transport Construction»
Moscow
S. V. Fedorova
Russian Open Academy of Transport of the Russian University of Transport
(RUT (MIIT))
Russian Federation
Russian Federation
Snezhana Vladimirovna Fedorova, Lecturer
Chair «Transport Construction»
Moscow
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Review
For citations:
Solovyov V.V., Fedorova S.V. Requirements and conditions for advanced diagnostic systems and software for railway infrastructure. Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. 2024;(1):141-150. (In Russ.) https://doi.org/10.46973/0201-727X_2024_1_141
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