Methods for analyzing the signals of a magnetoinduction sensor when passing wheel sets of rolling stock
https://doi.org/10.46973/0201-727X_2024_3_56
Abstract
The relevance of the study is due to the introduction of a unified train traffic control system on mainline railways based on microprocessor technologies. Track sensors play a significant role in the technical diagnostics systems of traction rolling stock. The Scientific and Innovation Center "Transport Safety" (SIC TS) of the Rostov State Transport University conducted a study of the parameters of the signal received when the wheel passes over magnetoinduction sensors; new sensor designs and the method of processing their signals make it possible not only to count the axles, but also to identify wheel defects. The analysis of signals modulated by a magnetoinduction sensor when a rolling stock wheelset passes over it, thanks to modern hardware and software complexes and the capabilities of graphical data presentation, can reflect the real picture of the profile of the wheelsets of a passing train, and also allows you to determine bogie distortions, the presence of dragging parts, critically overheated axle boxes. The article presents a graph-digital signal processing method for obtaining diagnostic information for monitoring the condition of wheels of railway rolling stock.
About the Author
V. V. Shtanke
Rostov State Transport University (RSTU)
Russian Federation
Russian Federation
Shtanke Veronika Valerievna, Scientific and Innovation Center «Transport Safety», Head of the Centre
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Review
For citations:
Shtanke V.V. Methods for analyzing the signals of a magnetoinduction sensor when passing wheel sets of rolling stock. Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. 2024;(3):56–67. (In Russ.) https://doi.org/10.46973/0201-727X_2024_3_56
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