A study on automating rolling-stock maintenance in the rail industry using robotics

Randika Kosala Wathavana Vithanage; Colin S. Harrison; Anjali K. M. DeSilva

doi:10.5220/0006410702780283

A study on automating rolling-stock maintenance in the rail industry using robotics

Randika Kosala Wathavana Vithanage, Colin S. Harrison, Anjali K. M. DeSilva

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

7 Citations (Scopus)

Abstract

Maintenance cost of United Kingdom’s rail rolling stock is a substantial portion of its whole life costs. Therefore, it is vital to conduct these maintenance tasks in an efficient and cost-effective manner to minimize operational costs while maximizing safety, quality, and consistency of service. The introduction of robotics and other intelligent mechanisms to maintenance processes would be an ideal solution to these challenges. Hence, this research suggests introducing autonomous maintenance systems equipped with industrial robots to tasks within the railway system, specifically for rolling-stock maintenance. The paper summarizes on-going and future work of a case-study conduct in conjunction with a UK railway operator.

Original language	English
Pages	278-283
Number of pages	6
DOIs	https://doi.org/10.5220/0006410702780283
Publication status	Published - 28 Jul 2017
Event	14th International Conference on Informatics in Control, Automation and Robotics (ICINCO) - Universidad Rey Juan Carlos, Madrid, Spain Duration: 26 Jul 2017 → 28 Jul 2017

Conference

Conference	14th International Conference on Informatics in Control, Automation and Robotics (ICINCO)
Country/Territory	Spain
City	Madrid
Period	26/07/17 → 28/07/17

Keywords

robotics
rail industry
automating rolling-stock maintenance
industrial robots
sensor fusion

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.5220/0006410702780283

Cite this

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title = "A study on automating rolling-stock maintenance in the rail industry using robotics",

abstract = "Maintenance cost of United Kingdom{\textquoteright}s rail rolling stock is a substantial portion of its whole life costs. Therefore, it is vital to conduct these maintenance tasks in an efficient and cost-effective manner to minimize operational costs while maximizing safety, quality, and consistency of service. The introduction of robotics and other intelligent mechanisms to maintenance processes would be an ideal solution to these challenges. Hence, this research suggests introducing autonomous maintenance systems equipped with industrial robots to tasks within the railway system, specifically for rolling-stock maintenance. The paper summarizes on-going and future work of a case-study conduct in conjunction with a UK railway operator.",

keywords = "robotics, rail industry, automating rolling-stock maintenance, industrial robots, sensor fusion",

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note = "W. Vithanage, R.; S. Harrison, C. and K. M. DeSilva, A. (2017). A Study on Automating Rolling-stock Maintenance in the Rail Industry using Robotics. In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-264-6; ISSN 2184-2809, SciTePress, pages 278-283. DOI: 10.5220/0006410702780283 ; 14th International Conference on Informatics in Control, Automation and Robotics (ICINCO) ; Conference date: 26-07-2017 Through 28-07-2017",

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A study on automating rolling-stock maintenance in the rail industry using robotics. / Wathavana Vithanage, Randika Kosala; Harrison, Colin S.; DeSilva, Anjali K. M.
2017. 278-283 Paper presented at 14th International Conference on Informatics in Control, Automation and Robotics (ICINCO), Madrid, Spain.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - A study on automating rolling-stock maintenance in the rail industry using robotics

AU - Wathavana Vithanage, Randika Kosala

AU - Harrison, Colin S.

AU - DeSilva, Anjali K. M.

N1 - W. Vithanage, R.; S. Harrison, C. and K. M. DeSilva, A. (2017). A Study on Automating Rolling-stock Maintenance in the Rail Industry using Robotics. In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-264-6; ISSN 2184-2809, SciTePress, pages 278-283. DOI: 10.5220/0006410702780283

PY - 2017/7/28

Y1 - 2017/7/28

N2 - Maintenance cost of United Kingdom’s rail rolling stock is a substantial portion of its whole life costs. Therefore, it is vital to conduct these maintenance tasks in an efficient and cost-effective manner to minimize operational costs while maximizing safety, quality, and consistency of service. The introduction of robotics and other intelligent mechanisms to maintenance processes would be an ideal solution to these challenges. Hence, this research suggests introducing autonomous maintenance systems equipped with industrial robots to tasks within the railway system, specifically for rolling-stock maintenance. The paper summarizes on-going and future work of a case-study conduct in conjunction with a UK railway operator.

AB - Maintenance cost of United Kingdom’s rail rolling stock is a substantial portion of its whole life costs. Therefore, it is vital to conduct these maintenance tasks in an efficient and cost-effective manner to minimize operational costs while maximizing safety, quality, and consistency of service. The introduction of robotics and other intelligent mechanisms to maintenance processes would be an ideal solution to these challenges. Hence, this research suggests introducing autonomous maintenance systems equipped with industrial robots to tasks within the railway system, specifically for rolling-stock maintenance. The paper summarizes on-going and future work of a case-study conduct in conjunction with a UK railway operator.

KW - robotics

KW - rail industry

KW - automating rolling-stock maintenance

KW - industrial robots

KW - sensor fusion

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DO - 10.5220/0006410702780283

M3 - Paper

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T2 - 14th International Conference on Informatics in Control, Automation and Robotics (ICINCO)

Y2 - 26 July 2017 through 28 July 2017

ER -

A study on automating rolling-stock maintenance in the rail industry using robotics

Abstract

Conference

Keywords

UN SDGs

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Cite this