CORDIS Project
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This project develops a predictive maintenance system for machine tools, leveraging sensors and artificial intelligence to enhance operational efficiency. The system aims to reduce maintenance costs and improve machine reliability by predicting failures and facilitating timely interventions.
Cheaper and more powerful sensors, together with big data analytics, offer an unprecedented opportunity to track machine-tool performance and health condition.
However, manufacturers only spend 15% of their total maintenance costs on predictive (vs reactive or preventative) maintenance.The project will 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, redu…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Sweden, VAXJO
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
Greece, ATHENS ATTIKIS
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
Spain, DONOSTIA
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
France, Nice
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
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