Moreover, the integration of machine learning algorithms into the 6% HI rolling mill allows for predictive maintenance. By analyzing historical data, the system can predict when certain components might fail, allowing maintenance to be scheduled proactively. This minimizes downtime and extends the life of the rolling mill, contributing to overall cost savings for manufacturers.
