Defining the Residual Resource of Metallurgical Equipment Components Under Limited Data Conditions
This study presents the development and validation of a machine learning model for predicting the residual life of bronze bearing liners used in the universal spindle of a 1680 rolling mill. The model is based on the Random Forest ensemble algorithm and implemented in the RStudio environment using real industrial obt...