Predictive Maintenance employing Non-intrusive Inspection & Data Analysis

Objective

The environmental, societal, and economic drivers of an efficient urban transport system are well acknowledged and are reflected in the local transport plans of all major urban areas. The overall concept of the project is to facilitate the achievement of this goal by generating solutions to currently identified barriers that form the project imperatives, which have been established through close consultation with operators, maintainers and suppliers.
In particular, the project is focussed on adoption and further development of novel inspection and sensor technologies. The project will develop an intelligent image acquisition and analysis system to enable more comprehensive and objective inspection of the track without the need for the increasingly unsafe and subjective track walking inspection. The project will also develop track sub-components with self monitoring capabilities to promote timely and knowledge based intervention for maintenance and renewal, while giving greater visibility of residual life and the need for future investments. These innovative developments are directed towards increasing the effective availability of the track infrastructure, increasing the life of new or renovated asset, reducing the cost of maintenance by timely intervention based on objective measurement of degradation and thereby provide a high quality reliable service to the end user.
The project has two key drivers; firstly to contribute towards the realisation of a 24 x 7 railway by minimising the disruption caused by activities such as inspection, remedial and reactive maintenance, and track renewal. Secondly, the introduction of novel sensor and inspection technologies that focuses more on the monitoring of degradation through the measurement of deviation from identified benchmark data known as a “signature tune”. Both these drivers promote the use of urban transport, and tramways in particular, which contributes to lowering congestion and the impact on the environment.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

• natural sciences computer and information sciences data science
• engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

• DIAGNOSTICS
• PREDICTIVE MAINTENANCE
• RELIABILITY
• URBAN RAIL SYSTEM

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

• FP7-TRANSPORT - Specific Programme "Cooperation": Transport (including Aeronautics)

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

• SST.2008.5.1.1. - Advanced and cost effective infrastructure construction, maintenance and monitoring

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP7-SST-2008-RTD-1
See other projects for this call

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

CP-FP - Small or medium-scale focused research project

Coordinator

Participants (15)