SAG’s Overload Forecasting Using a CNN Physical Informed Approach
Date Issued
2024-12
Author(s) USM
Allende, Hector
DOI
10.3390/app142411686
Abstract
The overload problem in semi-autogenous grinding (SAG) mills is critical in the mining industry, impacting the extraction of valuable metals and overall productivity. Overloads can lead to severe operational issues, including increased wear, reduced grind
