Industrial IoT-Enabled Prediction Interval Estimation of Mechanical Performances for Hot-Rolling Steel

The prediction of mechanical properties holds the key to ensuring product quality and developing new materials in the steel industry. In this study, an industrial Internet of Things platform is developed to obtain the property-related parameters, and a data-driven approach for estimating the prediction intervals (PIs) of these properties is proposed to address the drawbacks of point prediction methods. By combining an optimized extreme learning …