RS-SCBiGRU: a noise-robust neural network for high-speed motor fault diagnosis with limited samples

Abstract Convolutional Neural Networks, with their excellent capabilities for automatic feature discrimination and learning, have been widely applied in the field of mechanical fault diagnosis. However, in real-world operating environments, acquiring large amounts of fault data as training samples i...

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Bibliographic Details
Main Authors: Sun Fenghao, Li Guofa, He Jialong, Liu Shaoyang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-02500-2
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