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A Novel Decision Support System for Intelligent Maintenance

Ziel

“iMain” is an European level research project aiming to develop a novel decision support system for predictive maintenance. To that end, a multi-layer solution integrating embedded information devices and artificial intelligence techniques for knowledge extraction and novel reliability & maintainability practices will be developed. The resulting solution will provide extended capabilities compared to those achievable with current state-of-the-art maintenance practices, increasing system lifetime of the production equipment at least 30%, energy efficiency at least 20%, maintenance cost at least 40% and availability of whole process at least 30%.

As for maximizing project impact, “iMain” project is strongly committed to deployment issues, including innovation and implementation actions focused on value chains and bridging the gap from research to market. To that end, “iMain” emphasizes on the commercialization of results, taking also into account the needs of post-project monitoring of commercialization, which will be conducted after the end of the project in order to assess the achievement of the requested funding and for promoting the project as an effective innovation mechanism.

As a step towards the Europe 2020 strategy, “iMain” project will thus make a contribution in terms of R&D investment, employment and resource efficiency, aiming to assist EU manufacturers, particularly SMEs, to adapt to global competitive pressures by increasing the technological base of EU manufacturing through the development and integration of the enabling technologies of the future, specifically engineering technologies for novel predictive maintenance solutions.

Aufforderung zur Vorschlagseinreichung

FP7-2012-NMP-ICT-FoF
Andere Projekte für diesen Aufruf anzeigen

Koordinator

FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
EU-Beitrag
€ 1 319 196,00
Adresse
HANSASTRASSE 27C
80686 Munchen
Deutschland

Auf der Karte ansehen

Region
Bayern Oberbayern München, Kreisfreie Stadt
Aktivitätstyp
Research Organisations
Kontakt Verwaltung
Maximilian Steiert (Mr.)
Links
Gesamtkosten
Keine Daten

Beteiligte (8)