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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/17541

Title: Implementation of remote condition monitoring system for predictive maintenance: an organisational challenge
Authors: Ciocoiu, Luminita
Hubbard, Ella-Mae
Siemieniuch, Carys E.
Issue Date: 2015
Publisher: © Taylor and Francis
Citation: CIOCOIU, L., HUBBARD, E.-M. and SIEMIENIUCH, C.E., 2015. Implementation of remote condition monitoring system for predictive maintenance: an organisational challenge. IN: Sharples, S., Shorrock, S. and Waterson, P. (eds). Contemporary Ergonomics and Human Factors 2015: Proceedings of the International Conference on Ergonomics & Human Factors, 13th-16th April, Staverton Park, Daventry. Taylor and Francis, pp. 449-453.
Abstract: The “Health and Prognostic Assessment of Railway Assets for Predictive Maintenance” project is developing a Remote Condition Monitoring (RCM) system to manage asset degradation to enable predictive maintenance. Despite the benefits of the RCM systems, many of the programmes that seek to introduce them fail. Previous research shows that, beside technological challenges, there are organisational factors that contribute to the success of these programmes; the paper presents a three step approach taken to meet these challenges and some initial findings of the research.
Description: This is a conference paper and is available here with the kind permission of Taylor and Francis.
Sponsor: The authors would like to thank London Underground and other partners in the project: Telent, Humaware and Nottingham University, as well as the project funding bodies Innovate UK and the RSSB.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/17541
ISBN: 9781138028036
Appears in Collections:Conference Papers and Contributions (Mechanical, Electrical and Manufacturing Engineering)

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