AI-Powered Predictive Maintenance for Manufacturing
Project KIWA: Machine Learning for Zero Downtime in Production
The aim of predictive maintenance is to maintain operating resources proactively and with foresight. This should reduce downtime and maintenance costs to a minimum. Researchers at Fraunhofer EMFT are testing new concepts that use machine learning methods to efficiently process even extremely heterogeneous data and make accurate maintenance predictions for production facilities.
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