The goal of this project is to deploy and test a predictive cognitive maintenance decision-support system able to identify and localize damage, assess damage severity, predict damage evolution, assess remaining asset life, reduce the probability of false alarms, provide more accurate failure detection, issue notices to conduct preventive maintenance actions and ultimately increase in-service efficiency of machines by at least 10%.
The consortium includes 3 end-user factories, 3 machine-tool suppliers, 1 leading component supplier, 4 innovative SMEs, 3 research organizations and 3 academic institutions from different countries: Sweden, Greece, Spain, France, Germany and Slovakia
The PreCoM project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 768575.
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