manufacturing

Description

Description

Four industrial pilots aimed at providing predictive maintenance services that exploit sensors data to forecast the time to failure and produce maintenance plans that optimize maintenance costs; this will permit to reduce the risk of unplanned downtime from 15% to 25%, that is estimated to affect up from 5% to 20% of the overall manufacturing productivity

Testbeds

 

#1 Wind turbine predictive maintenance

 

#2 Machine tool spindle predictive behaviour

 

#3 Predictive maintenance for a crankshaft manufacturing system

 

#4 Predictive maintenance and production optimization for closure manufacturing

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Latest reports

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10th May 2021
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Networking with ARTwin project

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Top-Level and Mid-Level Ontologies Multi-Disciplinary Workshop

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Follow the EuroHPC Summit 2021

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Online the seminar "How the EC's DestinE programme transforms environmental policy making"

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