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TRIMIS

Track Condition Monitoring

PROJECTS
Funding
International
Duration
-
Status
Complete with results
Geo-spatial type
Other
Project website
Project Acronym
TCM
STRIA Roadmaps
Infrastructure (INF)
Transport mode
Rail icon
Transport sectors
Passenger transport,
Freight transport

Overview

Objectives

The project is to increase the international knowledge on track condition monitoring in order to increase the performance of the infrastructure managers’ maintenance process by applying monitoring knowledge in the best possible way.

The project will give insight into the railway infrastructure systems that cause low RAMS (Reliability Availability Maintainability and Safety) -performance and high maintenance cost. For these systems (the so-called RAMS-killers and Cost-drivers) the project will investigate the processes where RAMS and costs are influenced. The project results will indicate how these processes can be improved by the appropriate use of monitoring information.

For situations that surpass the national level, international standardisation will be proposed.

Methodology

High level study to identify the most important 'RAMS killers' and 'cost drivers' in Europe, in general switches and crossings are responsible for many reliability and availability issues, while track geometry durability and rail head quality were found to bet the main maintenance cost drivers. Therefore the PPIMS method was applied for three topics covering the three RAMS killers and cost drivers: rolling contact fatigue (RCF), maintenance and monitoring, track geometry maintenance and recording and maintenance and inspection of rail crossings and switches. Current and best practices were discussed and reported for each of the topics. Suggestions were given for further optimisation of the condition monitoring practices.

Funding

Parent Programmes
Institution Type
Non-profit organisation
Institution Name
UIC - Union Internationale des Chemins de fer
Type of funding
Industry

Results

The project has given insight into the railway infrastructure systems that cause low RAMS-performance and high maintenance cost. For these systems (the so-called RAMS-killers and Cost-drivers) the project has investigated the processes where RAMS and costs are influenced. The project results has indicated how these processes can be improved by the appropriate use of monitoring information.

For situations that surpass the national level, international standardisation has been proposed.

Other results

Library of railway condition monitoring tools, A top-10 of ranking of RAMS-killers and Cost-drivers etc.

Partners

Lead Organisation
EU Contribution
€0
Partner Organisations
EU Contribution
€0

Technologies

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