Predictive Maintenance

by RealMINT

A solution for forecasting the remaining-useful lifetime of manufacturing equipment, powered by state-of-the-art artificial intelligence.

About us

Our solution

Traditional maintenance approaches, such as reactive and preventive maintenance, often fall short. Reactive maintenance, or a run-to-failure approach, leads to high repair times and reduced uptime. Preventive maintenance depends on arbitrary schedules, resulting in unnecessary costs. Conversely, our AI-driven predictive maintenance solution maximizes the value of manufacturing assets and dynamically adapts to your manufacturing environment, ensuring optimal performance and cost-efficiency.

Continuous Improvement

Case stydy

Our client

Our AI solution proficiently forecasts the remaining useful life of electrolysis cells utilized in aluminum production via the Hall–Héroult process. By leveraging the material specifications of the electrolysis cells, our solution has trained machine learning models to learn from a substantial number of previous failures and provide precise forecasts.

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