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A domain adaptive fault diagnosis method for rolling bearing based on multi-layer convolution-guided transformer under variable working conditions

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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.
Currently, deep learning technology shows significant advantages in improving the efficiency of rolling bearing fault diagnosis. However, the stability and generalization ability of these models are often weakened by complex and variable working ...