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AI use case
Vale uses machine learning-based predictive maintenance systems to monitor the health of critical mining equipment including excavators, conveyors, crushers, and drill rigs acro…
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Title
Vale AI Predictive Maintenance System Preventing Equipment Failures
Content
Vale uses machine learning-based predictive maintenance systems to monitor the health of critical mining equipment including excavators, conveyors, crushers, and drill rigs across its global operations. The AI system analyzes sensor data from over 100,000 monitoring points including vibration, temperature, pressure, and acoustic sensors to predict equipment failures before they occur. Vale's predictive maintenance AI has reduced unplanned maintenance events by 58%, decreased maintenance costs by 24%, and improved equipment availability to over 93%. The system can predict failures weeks in advance, allowing for planned downtime rather than emergency repairs.
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Rio de Janeiro
Company/Organization
Vale
Continent
South America
Country
Brazil
Category
Metals & Mining
Type
Deployment
Id
87ef4702-1c2e-403f-a9d6-d188c145c6f4
Created At
2026-03-29T06:47:44.980586+00:00