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SUPREME

SUstainable PREdictive Maintenance for manufacturing Equipment

Coordinatore	CENTRE TECHNIQUE DES INDUSTRIES MECANIQUES Organization address address: AVENUE FELIX LOUAT 52 city: SENLIS CEDEX postcode: 60304 contact info Titolo: Mr. Nome: Djea Cognome: Djeapragache Email: send email Telefono: +33 3 44 67 33 30 Fax: +33 3 44 67 31 76
Nazionalità Coordinatore	France [FR]
Totale costo	4˙554˙035 €
EC contributo	3˙300˙000 €
Programma	FP7-NMP Specific Programme "Cooperation": Nanosciences, Nanotechnologies, Materials and new Production Technologies
Code Call	FP7-2012-NMP-ICT-FoF
Funding Scheme	CP-TP
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-09-01 - 2015-08-31

Partecipanti

#	participant	country	role	EC contrib. [€]
1	CENTRE TECHNIQUE DES INDUSTRIES MECANIQUES Organization address address: AVENUE FELIX LOUAT 52 city: SENLIS CEDEX postcode: 60304 contact info Titolo: Mr. Nome: Djea Cognome: Djeapragache Email: send email Telefono: +33 3 44 67 33 30 Fax: +33 3 44 67 31 76	FR (SENLIS CEDEX)	coordinator	599˙379.00
2	FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V Organization address address: Hansastrasse 27C city: MUENCHEN postcode: 80686 contact info Titolo: Mr. Nome: Walter Cognome: Krause Email: send email Telefono: +49 89 12052713 Fax: +49 89 12057534	DE (MUENCHEN)	participant	526˙950.00
3	EC SYSTEMS SPZOO Organization address address: UL. LUBLANSKA 34 city: KRAKOW postcode: 31 476 contact info Titolo: Mr. Nome: Tomasz Cognome: Barszcz Email: send email Telefono: +48 12 627 77 10 Fax: +48 12 627 77 11	PL (KRAKOW)	participant	468˙279.00
4	OPTIMITIVE SL Organization address city: MINANO postcode: 1510 contact info Titolo: Mr. Nome: Javier Cognome: Garcia Sedano Email: send email Telefono: +34 628105511	ES (MINANO)	participant	465˙500.00
5	INSTITUT POLYTECHNIQUE DE GRENOBLE Organization address address: AVENUE FELIX VIALLET 46 city: GRENOBLE CEDEX 1 postcode: 38031 contact info Titolo: Dr. Nome: Clementine Cognome: Gleizal Email: send email Telefono: +33 476575038 Fax: 33476574813	FR (GRENOBLE CEDEX 1)	participant	341˙097.00
6	LOY & HUTZ AG Organization address address: EMMY-NOETHER-STRASSE 2 city: FREIBURG IM BREISGAU postcode: 79110 contact info Titolo: Mr. Nome: Bernhard Cognome: Nopper Email: send email Telefono: 497615000000 Fax: 497615000000	DE (FREIBURG IM BREISGAU)	participant	280˙963.00
7	CESKE VYSOKE UCENI TECHNICKE V PRAZE Organization address address: ZIKOVA 4 city: PRAHA postcode: 166 36 contact info Titolo: Mr. Nome: Igor Cognome: Mraz Email: send email Telefono: +420 2 2435 2014 Fax: +420 2 2431 0784	CZ (PRAHA)	participant	208˙110.00
8	ORLOGA SA Organization address address: AVENIDA CARLOS I 10 4B C city: SAN SEBASTIAN postcode: 20011 contact info Titolo: Mr. Nome: Pablo Cognome: Amunarriz Email: send email Telefono: +34 943461811 Fax: +34 943462312	ES (SAN SEBASTIAN)	participant	165˙366.00
9	ENDEL SAS Organization address address: BOULEVARD DE VALMY 165 city: COLOMBES postcode: 92707 contact info Titolo: Mr. Nome: Rabah Cognome: Achemaoui Email: send email Telefono: +33 6 74 40 23 68	FR (COLOMBES)	participant	127˙025.00
10	CONDAT Organization address address: AVENUE GALILEE 15 city: LE PLESSIS ROBINSON postcode: 92350 contact info Titolo: Mr. Nome: Didier Cognome: Geffroy Email: send email Telefono: +33 553514389 Fax: +33 553514101	FR (LE PLESSIS ROBINSON)	participant	117˙331.00

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predictive sectors efficiency industries impact monitoring competitiveness solutions productivity chemical economy consumption signal manufacturing paper optimal performance smes industrial critical energy line cement service technologies added tools supreme industry mill machine reduce time data prediction keeping innovative maintenance

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.