Application of a multi-residual unit fusion lightweight network model in ball mill load recognition
Transactions of the Institute of Measurement and Control
Published online on July 31, 2026
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
To address complex architectures, parameter redundancy, high computational costs, weak generalization, and limited accuracy of traditional deep learning in ball mill load recognition, this paper proposes a multi-residual unit fusion lightweight network. ...
To address complex architectures, parameter redundancy, high computational costs, weak generalization, and limited accuracy of traditional deep learning in ball mill load recognition, this paper proposes a multi-residual unit fusion lightweight network. ...