Improved estimation of rail–wheel contact forces from instrumented wheel-set data through higher harmonic cancellation and a back-propagation neural network scheme-Reference-Cited by-同舟云学术

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Improved estimation of rail–wheel contact forces from instrumented wheel-set data through higher harmonic cancellation and a back-propagation neural network scheme

Published:2023-03 Issue: Volume:119 Page:105811
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Ropalkar Onkar S.^ORCID,Yadav Om Prakash,Zambare Chetan,Vyas Nalinaksh S.^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference42 articles.

1. Optimal strain gauge placement in instrumented wheelset for measuring wheel-rail contact forces;Bagheri;Int. J. Precis. Eng. Manuf.,2017

2. Development of method for experimental determination of wheel–rail contact forces and contact point position by using instrumented wheelset;Bižić;Meas. Sci. Technol.,2017

3. One solution for measurement of wheel-rail contact forces;Bižić,2018

4. Bracciali, A., Cavaliere, F., Macherelli, M., 2014. Review of instrumented wheelset technology and applications. In: Proc. 2nd Int. Conf. Railway Technol., Res., Develop. Maintenance. pp. 1–16.

5. The electric locomotive;Carter,1916

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