A Spatio-Temporal Joint Diagnosis Framework for Bearing Faults via Graph Convolution and Attention-Enhanced Bidirectional Gated Networks

In recent years, Academia and industry have conducted extensive and in-depth research on bearing-fault-diagnosis technology. However, the current modeling of time–space coupling characteristics in rolling bearing fault diagnosis remains inadequate, and the integration of multi-modal correlations req...

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Bibliografische Detailangaben

Hauptverfasser:	Zhiguo Xiao, Xinyao Cao, Huihui Hao, Siwen Liang, Junli Liu, Dongni Li
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-06-01
Schriftenreihe:	Sensors
Schlagworte:	bearing fault diagnosis graph convolutional networks bidirectional gated recurrent units spatio-temporal features attention mechanism
Online-Zugang:	https://www.mdpi.com/1424-8220/25/13/3908
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