Semi-autonomous Framework for Propulsion Subsystem Overhaul and Refurbishment

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Acquisition costs and increasing demand for rolling stock (RS) capacity often make replacement of ageing systems by operators challenging. The advent of innovative railway technologies such as the European Traffic Management System furnished with new software-based systems often require regular updates and component replacements, which leads to a mid-life overhaul and refurbishment (O&R) for most RS systems. In many instances, service-affecting failures and errors encountered after O&R projects are mainly due to over-reliance on engineering judgements of experienced maintenance staffs and sparse use of operational data, which are attributable to the lack of unified practice-based methodologies. The purpose of this study is to propose a modified hybrid model that can effectively support O&R activities at the end of life for an RS subsystem. The framework aggregates an upstream reliability and risk and downstream maintenance and overhaul technique as a single hybrid framework. With UK based railway operational and real- life data, the proposed technique was applied as a case study. The results showed that the modified hybrid model effectively addressed the reliability, risk and maintenance challenges posed by critical RS subsystems during O&R activities.

Bibliographical metadata

Original languageEnglish
Title of host publication2021 International Conference on Artificial Intelligence and Computer Science Technology (ICAICST)
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)978-1-6654-2404-2
ISBN (Print)978-1-6654-2405-9
DOIs
Publication statusPublished - 30 Jul 2021
Event2021 International Conference on Artificial Intelligence and Computer Science Technology - Yogyakarta, Yogyakarta, Indonesia
Event duration: 29 Jun 202130 Jun 2021
https://ieeexplore.ieee.org/servlet/opac?punumber=9497776

Conference

Conference2021 International Conference on Artificial Intelligence and Computer Science Technology
Abbreviated titleICAICST
Country/TerritoryIndonesia
CityYogyakarta
Period29/06/2130/06/21
Internet address