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Power consumption driven Reliability, Operation and Maintenance optimisation

Objective

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.

Call for proposal

FP7-2012-NMP-ICT-FoF
See other projects for this call

Funding Scheme

CP-TP - Collaborative Project targeted to a special group (such as SMEs)

Coordinator

FUNDACION TEKNIKER
Address
Calle Inaki Goenaga 5
20600 Eibar Guipuzcoa
Spain
Activity type
Research Organisations
EU contribution
€ 709 207
Administrative Contact
Alzaga Aitor (Mr.)

Participants (6)

MARPOSS MONITORING SOLUTIONS GMBH
Germany
EU contribution
€ 346 689
Address
Buchenring 40
21272 Egestorf
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Dirk Euhus (Mr.)
FAGOR AOTEK S. COOP
Spain
EU contribution
€ 369 600
Address
B San Andres 19
20500 Arrasate Mondragon
Activity type
Research Organisations
Administrative Contact
Carlos Rodriguez De Yurre (Mr.)
PREDICT SAS
France
EU contribution
€ 356 575
Address
Avenue De La Foret De Haye 19
54500 Vandoeuvre Les Nancy
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Maxime Monnin (Dr.)
MONITION LIMITED
United Kingdom
EU contribution
€ 231 360
Address
Bondhay Complex
S80 3EH Worksop
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Michael Burrows (Mr.)
GORATU MAQUINAS HERRAMIENTA, SA
Spain
EU contribution
€ 235 403
Address
Calle Lerun 1
20870 Elgoibar
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Agustin Prado (Mr.)
LULEA TEKNISKA UNIVERSITET
Sweden
EU contribution
€ 402 460
Address
Universitetsomradet Porson
971 87 Lulea
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Diego Galar (Prof.)