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

Randika K.W. 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 K.W. Vithanage^*, Colin S. Harrison, Anjali K.M. DeSilva

^*Corresponding author for this work

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

409 Downloads (Pure)

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
Title of host publication	Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics
Publisher	SciTePress
Pages	278-283
Number of pages	6
Volume	2
ISBN (Electronic)	9789897582646
ISBN (Print)	978-989-758-264-6
DOIs	https://doi.org/10.5220/0006410702780283
Publication status	Published - 28 Jul 2017
Event	14th International Conference on Informatics in Control, Automation and Robotics - Madrid, Spain Duration: 26 Jul 2017 → 28 Jul 2017 http://www.icinco.org/?y=2017

Conference

Conference	14th International Conference on Informatics in Control, Automation and Robotics
Abbreviated title	ICINCO 2017
Country/Territory	Spain
City	Madrid
Period	26/07/17 → 28/07/17
Internet address	http://www.icinco.org/?y=2017

Keywords

Sensor fusion
Automated maintenance
Industrial robots

ASJC Scopus subject areas

Control and Systems Engineering
Computer Vision and Pattern Recognition

Documents and Links

10.5220/0006410702780283

Vithanage, R.K.W. et al (2017) A study on automating rolling-stock maintenance in the rail industry using robotics
© 2017 SciTePress. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License: https://creativecommons.org/licenses/by-nc-nd/4.0/
Final published version, 1.88 MBLicence: CC BY-NC-ND

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 andother 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 = "Sensor fusion, Automated maintenance, Industrial robots",

author = "Vithanage, {Randika K.W.} and Harrison, {Colin S.} and DeSilva, {Anjali K.M.}",

note = "Acceptance requested. ST 12.12.19. OA article Publication date taken from last day of conference.; 14th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2017 ; Conference date: 26-07-2017 Through 28-07-2017",

year = "2017",

month = jul,

day = "28",

doi = "10.5220/0006410702780283",

language = "English",

isbn = "978-989-758-264-6",

volume = "2",

pages = "278--283",

booktitle = "Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics",

publisher = "SciTePress",

url = "http://www.icinco.org/?y=2017",

}

Vithanage, RKW, Harrison, CS & DeSilva, AKM 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. vol. 2, SciTePress, pp. 278-283, 14th International Conference on Informatics in Control, Automation and Robotics, Madrid, Spain, 26/07/17. https://doi.org/10.5220/0006410702780283

A study on automating rolling-stock maintenance in the rail industry using robotics. / Vithanage, Randika K.W.; Harrison, Colin S.; DeSilva, Anjali K.M.
Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics. Vol. 2 SciTePress, 2017. p. 278-283.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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

AU - Vithanage, Randika K.W.

AU - Harrison, Colin S.

AU - DeSilva, Anjali K.M.

N1 - Acceptance requested. ST 12.12.19. OA article Publication date taken from last day of conference.

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 andother 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 andother 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 - Sensor fusion

KW - Automated maintenance

KW - Industrial robots

U2 - 10.5220/0006410702780283

DO - 10.5220/0006410702780283

M3 - Conference contribution

SN - 978-989-758-264-6

VL - 2

SP - 278

EP - 283

BT - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics

PB - SciTePress

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

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

ASJC Scopus subject areas

Documents and Links

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Cite this