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Rolling bearing performance degradation trend prediction based on RCMFDE and STAGCN

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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.
Prediction of rolling bearing performance degradation trends is crucial for ensuring the reliability and safety of rotating machinery in industrial applications. Aiming at deep learning methods such as recurrent neural network, convolutional neural ...