SELF-DIAGNOSIS METHOD FOR CHECKING THE WAYSIDE SYSTEMS FOR WHEEL-RAIL VERTICAL LOAD MEASUREMENT

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Transport Problems

Silesian University of Technology

Subject: Economics , Transportation , Transportation Science & Technology

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VOLUME 12 , ISSUE 4 (December 2017) > List of articles

SELF-DIAGNOSIS METHOD FOR CHECKING THE WAYSIDE SYSTEMS FOR WHEEL-RAIL VERTICAL LOAD MEASUREMENT

Daniele CORTIS / Stefano GIULIANELLI / Gabriele MALAVASI / Stefano ROSSI *

Keywords : wayside measurement system, vertical forces, wheel-rail contact forces, self-diagnosis methods

Citation Information : Transport Problems. Volume 12, Issue 4, Pages 91-100, DOI: https://doi.org/10.20858/tp.2017.12.4.9

License : (CC BY 4.0)

Received Date : 11-August-2016 / Accepted: 07-December-2017 / Published Online: 04-March-2018

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ABSTRACT

Nowadays, wayside measurement systems of wheel-rail contact forces have acquired great relevance for the monitoring of rolling stock, especially for freight trains. Thanks to these solutions, infrastructure managers can check and monitor the status of rolling stock and, when necessary, impose corrective actions for the railway companies. On the other hand, the evaluation of contact forces is part of the rolling stock authorisation process [1] and a mainstone for the study of the running stability. The data provided by these measurements could give useful information to correlate the wear of the track with the frequency of applied loads, helping in the development of a better maintenance strategy of railway networks [2].

In this paper, the monitoring of vertical forces is based on the SMCV (Vertical Loads Monitoring System) method, where shear strains of the rail web are measured with a simple combination of four electrical strain gauges, placed on both sides of the rail web along each span. The research has identified self-diagnosis methods for the SMCV system to ensure the reliability and the quality of the measurements and to extend the knowledge of the system. The recorded signals have been processed and converted into easily interpretable physical quantities by means of MATLAB® algorithm.

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REFERENCES

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