Objective
Productivity improvements have major impact on EU economy and competitiveness. Industrial maintenance contributes largely to this competitiveness through reliability and availability of production equipments. The EU market of industrial maintenance can be estimated at 32 Bn€/year, in which outsourced maintenance represents 1/3. In continuous production industries (energy, chemical, food, cement or paper sectors) the ratio “maintenance costs/added value product” is even higher than 25%. In these industries, default component or process failure stop the whole production, therefore predictive maintenance is a critical issue.
The objectives of SUPREME are
- to develop and use most advanced signal and data processing dedicated to predictive maintenance and energy consumption reduction
- to implement these tools in an industrial demonstrator
- to develop, exploit and diffuse new tools for predictive maintenance
SUPREME’s main challenging results will be:
-Innovative reference models for residual life prediction and optimal predictive maintenance of deteriorating system
-Embedded advanced signal acquisition and features extractions for varying operating conditions machines
-Real time data fusion (vibrations, acoustic emission, motor current, torque,…)
-Off line data mining and self learning failure mode pattern
-Automated loop for monitoring optimal machine stabilization
-Dynamically updated condition monitoring software module
-Specific dissemination tools
The project impact will be the proof of predictive maintenance efficiency, reduction of down-time and energy consumption in manufacturing industry, demonstrated in a coated paper mill.
To reach excellence on predictive maintenance, SUPREME consortium integrates key technical players on the maintenance added value chain, gathering technology and service providing SMEs. Partners specialised in SME technology transfer will ensure the exploitation of innovative predictive maintenance concepts in EU manufacturing SMEs.
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.
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 software
- natural sciences computer and information sciences data science data mining
- social sciences economics and business economics production economics productivity
- natural sciences computer and information sciences data science data processing
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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.
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.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-2012-NMP-ICT-FoF
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.
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-TP - Collaborative Project targeted to a special group (such as SMEs)
Coordinator
60304 Senlis Cedex
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.