Implementation of remote condition monitoring system for predictive maintenance: an organisational challenge
conference contributionposted on 19.05.2015 by Luminita Ciocoiu, Ella-Mae Hubbard, Carys Siemieniuch
Any type of content contributed to an academic conference, such as papers, presentations, lectures or proceedings.
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.
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.
- Mechanical, Electrical and Manufacturing Engineering