Enhancing plant maintenance with real-time predictions

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Capgemini’s scalable yet dynamic predictive maintenance solution reduces human intervention and cost of sudden breakdown of the robotic arms by predicting genuine failure at least 1 to 2 days prior.

The solution created a model which identified failure and triggered preemptive action along with a malfunction score based on Machine Learning’s (ML) decision-tree and random forest algorithms.

 

Real-time predictions of...

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Fabian Schladitz

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