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Application of a multi-residual unit fusion lightweight network model in ball mill load recognition

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Transactions of the Institute of Measurement and Control

Published online on

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. ...