Effective predictive maintenance systems use machine learning algorithms to process real-time sensor data on temperature, pressure, torque, vibration, and other key parameters to determine when failures are likely to occur. Watch this video to learn how Altair tools can help determine the variables with the most predictive power, how to train predictive maintenance models with historical data, and how easy it is to deploy models into an operational workflow.

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