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Proceeding Paper

Sensor Selection and Placement for Track Switch Condition Monitoring through Validated Structural Digital Twin Models of Train–Track Interactions †

by
Nikhil Pillai
1,*,
Jou-Yi Shih
1,2 and
Clive Roberts
1
1
Birmingham Centre for Railway Research and Education, School of Engineering, University of Birmingham, Birmingham B15 2TT, UK
2
ZynaMic Engineering AB, 120 70 Stockholm, Sweden
*
Author to whom correspondence should be addressed.
†
Presented at the 8th International Electronic Conference on Sensors and Applications, 1–15 November 2021; Available online: https://ecsa-8.sciforum.net.
Eng. Proc. 2021, 10(1), 49; https://doi.org/10.3390/ecsa-8-11297
Published: 1 November 2021
(This article belongs to the Proceedings of The 8th International Electronic Conference on Sensors and Applications)
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Abstract

Railway track switches experience high failure rates, which can be reduced by monitoring their structural health. The results obtained from a validated Finite Element (FE) model for train–track switch interaction have been introduced to support sensor selection and placement. For the FE models with nominal and damaged rail profiles, virtual strain sensor measurements have been obtained after converting the true strains to engineering strains. Comparisons for the strains before and after the introduction of the fault have demonstrated greater amplitude for the strains after fault introduction. The highest difference in strain amplitude is in the vertical direction, followed by the longitudinal and lateral directions.
Keywords: sensor placement; strain gauges; condition monitoring; switch and crossing (S&C); finite element analysis (FEA); multi-body simulation (MBS) sensor placement; strain gauges; condition monitoring; switch and crossing (S&C); finite element analysis (FEA); multi-body simulation (MBS)

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MDPI and ACS Style

Pillai, N.; Shih, J.-Y.; Roberts, C. Sensor Selection and Placement for Track Switch Condition Monitoring through Validated Structural Digital Twin Models of Train–Track Interactions. Eng. Proc. 2021, 10, 49. https://doi.org/10.3390/ecsa-8-11297

AMA Style

Pillai N, Shih J-Y, Roberts C. Sensor Selection and Placement for Track Switch Condition Monitoring through Validated Structural Digital Twin Models of Train–Track Interactions. Engineering Proceedings. 2021; 10(1):49. https://doi.org/10.3390/ecsa-8-11297

Chicago/Turabian Style

Pillai, Nikhil, Jou-Yi Shih, and Clive Roberts. 2021. "Sensor Selection and Placement for Track Switch Condition Monitoring through Validated Structural Digital Twin Models of Train–Track Interactions" Engineering Proceedings 10, no. 1: 49. https://doi.org/10.3390/ecsa-8-11297

APA Style

Pillai, N., Shih, J.-Y., & Roberts, C. (2021). Sensor Selection and Placement for Track Switch Condition Monitoring through Validated Structural Digital Twin Models of Train–Track Interactions. Engineering Proceedings, 10(1), 49. https://doi.org/10.3390/ecsa-8-11297

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