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POWER-OM

Financiado

Cerrado

Power consumption driven Reliability Operation and Maintenance optimisation

The normal strategy to keep production systems in good conditions is to apply preventive maintenance practices, with a supportive workforce reactive in the case of clearly detected malfunctions. This impact on quality, cost and in... ver más

31/07/2015

TEKNIKER

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

FUNDACION TEKNIKER No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 21M€

Fecha límite participación Sin fecha límite de participación.

Ver 6 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2015-07-31 No tenemos la información de la convocatoria

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Información adicional privada

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

6 Participantes

TEKNIKER

0.00€ | Lider

LTU

N.D. | Participante

MARPOSS MONITORING SOLUTIONS...

N.D. | Participante

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Líder del proyecto

FUNDACION TEKNIKER No se ha especificado una descripción o un objeto social para esta compañía.

TRL 2-3 | 21M€

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The normal strategy to keep production systems in good conditions is to apply preventive maintenance practices, with a supportive workforce reactive in the case of clearly detected malfunctions. This impact on quality, cost and in general, productivity. Added to this, the uncertainty of machine reliability at any given time, also impacts on product/production delivery times. It is known also that a worn-out mechanism has higher energy consumption. The use of intelligent predictive technologies could contribute to improve the situation, but these techniques are not widely used in the production environment. Often sensors and monitors required for the production environment are non standard and require costly implementations. Power-OM propose to use the electric current consumption monitoring and profiling, as an easy to implement condition based maintenance (CbM) technique, and manage it also as a way to improve the overall business effectiveness, under a triple perspective: • Optimizing maintenance strategies based on the prediction of potential failures and schedule maintenance operations in convenient periods and avoid unexpected breakdowns • Operation: Managing energy as a production resource and reduce its consumption • Product reliability: Providing the machine tool builder with real data about the behaviour of the product and their critical components This universal solution should also be compatible with the added value information that could come from existing sources (control) and sensors used at the machine, and jointly this will preserve current and future investment in the field. The project will research also in the required infrastructure and new business model for maintenance services provider. Power-OM will be applied in machine tools, focussing on spindles and linear guides as responsible for the most common and cost-intensive downtimes. However the technology developed in this sense would have high potentials across other types of machines.

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