Counting and diagnostics system for wheelsets of railway rolling stock

Background. Upgrade of wheelsets counting and diagnostic systems at high speeds. Aim. Improvement of precision and quality of wheelsets diagnostics. Materials and Methods. A combination of new designs of the Shtanke magnetoinduction sensor with a microprocessor signal generation unit is proposed. The work employed mathematical modeling using Fourier series and delta-Dirac function. Results. Software algorithms for calculating and assessing the mechanical condition of wheelsets of rolling stock at high speeds are developed. Conclusion. A new system for counting and assessing the mechanical condition of wheelsets improves the quality of diagnostics of rolling stock at high speeds.

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Publication Details

Journal
Modern Transportation Systems and Technologies
Published
2025-03-23
DOI
https://doi.org/10.17816/transsyst660876
Primary Topic
Electric Power Systems and Control
Type
article
Field-Weighted Citation Impact
0.00
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article

Counting and diagnostics system for wheelsets of railway rolling stock

Andrei V. Solomin, Vladimir A. Solomin, Veronika V. Shtanke
Modern Transportation Systems and Technologies
Electric Power Systems and Control
article

Counting and diagnostics system for wheelsets of railway rolling stock

Andrei V. Solomin, Vladimir A. Solomin, Veronika V. Shtanke
article en

Abstract

Background. Upgrade of wheelsets counting and diagnostic systems at high speeds. Aim. Improvement of precision and quality of wheelsets diagnostics. Materials and Methods. A combination of new designs of the Shtanke magnetoinduction sensor with a microprocessor signal generation unit is proposed. The work employed mathematical modeling using Fourier series and delta-Dirac function. Results. Software algorithms for calculating and assessing the mechanical condition of wheelsets of rolling stock at high speeds are developed. Conclusion. A new system for counting and assessing the mechanical condition of wheelsets improves the quality of diagnostics of rolling stock at high speeds.

Modern Transportation Systems and TechnologiesVol. 11(1)
Rostov State Transport University (RU)
Openalex Percentile: Top 96%
Electric Power Systems and Control
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