The Remaining Life Prediction of Rails Based on Convolutional Bi-Directional Long and Short-Term Memory Neural Network with Residual Self-Attention Mechanism

In the railway industry, the rail is the basic load-bearing structure of railway tracks. The prediction of the remaining useful life (RUL) for rails is important to avoid unexpected system failures and reduce the cost of maintaining the system. However, the existing detection of rail flaws is diffic...

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Prif Awduron:	Gang Huang, Lin Gong, Yuhan Zhang, Zhongmei Wang, Songlin Yuan
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2024-04-01
Cyfres:	Applied Sciences
Pynciau:	heavy duty trains rail deep learning lifetime prediction
Mynediad Ar-lein:	https://www.mdpi.com/2076-3417/14/9/3781
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!