SUPREME

SUstainable PREdictive Maintenance for manufacturing Equipment

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 Obiettivo del progetto (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.'

Introduzione (Teaser)

Keeping the production line moving at all times is critical to the economy and to the competitiveness of the European manufacturing sector. An EU initiative is developing enabling technologies to minimise disruptions in the production process.

Descrizione progetto (Article)

Today's manufacturing industries employ technologies that manage and control equipment maintenance. These solutions, designed to help determine the condition of in-service equipment and to forecast when maintenance should be performed, have performance drawbacks.

Correct failure prediction has yet to be achieved by traditional or even modern procedures. The EU-funded 'Sustainable predictive maintenance for manufacturing equipment' (http://www.supreme-fof.eu (SUPREME)) project is introducing solutions that will enhance the prevention of unexpected production equipment failures in order to reduce downtime, repair costs and energy consumption.

To predict the future trend of equipment's condition, the team is designing cutting-edge tools based on cost-effective and smart technologies. These tools will work by carrying out maintenance at a scheduled point in time when the maintenance activity is most cost-effective and before the equipment loses performance.

Researchers are also putting forward an integrated method to enhance the production and the associated consumption of energy or power.

A paper mill in France will serve as the pilot site. Researchers expect to reduce lost time caused by machine failure by 20 %, energy costs by 5 % and environmental costs by up to 10 %.

The tools being developed can also be used by other industrial sectors, including cement and chemical.

SUPREME is working towards the goals of enhanced productivity, safety, security, cost and energy efficiency for equipment condition monitoring techniques. Project outcomes should boost the paper industry's competitiveness while keeping jobs in Europe.