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Prediction of the remaining life of rolling bearings based on parallel bidirectional feature fusion

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Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, Ahead of Print.
Remaining Useful Life (RUL) prediction of rolling bearings is crucial for ensuring the reliability and safety of rotating machinery in industrial applications. Deep learning-based RUL prediction methods generally adopt a unidirectional time-series feature ...