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UPTIME

financed

Closed

UNIFIED PREDICTIVE MAINTENANCE SYSTEM

UPTIME will seek to reframe predictive maintenance strategy by proposing a unified framework and to create an associated unified information system in alignment to the aforementioned framework. Therefore, UPTIME will extend and un... see more

28/02/2021

BIBA

6M€

Project Budget: 6M€

Project leader

BIBA BREMER INSTITUT FUER PRODUKTION UND LOG... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 13 Participantes

Financing granted El organismo H2020 notifico la concesión del proyecto The day 2021-02-28

FOF-09-2017: Novel design and predictive mainten... Specific Challenge:The elevated complexity and costs of production assets combined with the requirem...

I+D

Cerrada does 8 years

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

13 Participantes

BIBA

1.05M€ | Leader

VILAPLANA SOCIEDAD ANONIMA

341.37K€ | participant

WHEMEA

305.81K€ | participant

UBITECH LIMITED

430.06K€ | participant

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Project duration: 43 months Date Start: 2017-07-11
End date: 2021-02-28

Project leader

BIBA BREMER INSTITUT FUER PRODUKTION UND LOG... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 6M€

participation deadline Sin fecha límite de participación.

Project description UPTIME will seek to reframe predictive maintenance strategy by proposing a unified framework and to create an associated unified information system in alignment to the aforementioned framework. Therefore, UPTIME will extend and unify new digital, e-maintenance services and tools in order to exploit the full potential of a predictive maintenance strategy with the UPTIME solution, will deploy and validate the UPTIME solution in the manufacturing companies participating in the UPTIME consortium and will diffuse the UPTIME solution in the manufacturing community. UPTIME will enable manufacturing companies having installed sensors to fully exploit the availability of huge amounts of data with respect to the implementation of a predictive maintenance strategy. Moreover, production, quality and logistics operations driven by predictive maintenance will benefit from UPTIME. UPTIME will enable manufacturing companies to reach Gartner’s level 4 of data analytics maturity (optimized decision-making) in order to improve physically-based models and to synchronise maintenance with quality management, production planning and logistics options. In this way, it will optimize in-service efficiency through reduced failure rates and downtime due to repair, unplanned plant/production system outages and extension of component life. Moreover, it will contribute to increased accident mitigation capability since it will be able to avoid crucial breakdown with significant consequences. Consequently, UPTIME will exploit the full potential of predictive maintenance management and its interactions with other industrial operations by investigating a unified methodology and by implementing a unified information system addressing the predictive maintenance strategy.

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