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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Główni autorzy:	Gang Huang, Lin Gong, Yuhan Zhang, Zhongmei Wang, Songlin Yuan
Format:	Artigo
Język:	Inglês
Wydane:	MDPI AG 2024-04-01
Seria:	Applied Sciences
Hasła przedmiotowe:	heavy duty trains rail deep learning lifetime prediction
Dostęp online:	https://www.mdpi.com/2076-3417/14/9/3781
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