Method for Remaining Useful Life Prediction of Turbofan Engines Combining Adam Optimization-Based Self-Attention Mechanism with Temporal Convolutional Networks

Conducting the remaining useful life (RUL) prediction for an aircraft engines is of significant importance in enhancing aircraft operation safety and formulating reasonable maintenance plans. Addressing the issue of low prediction model accuracy due to traditional neural networks’ inability to fully...

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Principais autores:	Hairui Wang, Dongjun Li, Ya Li, Guifu Zhu, Rongxiang Lin
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-09-01
coleção:	Applied Sciences
Assuntos:	turbofan engine remaining useful life prediction self-attention mechanism temporal convolutional network
Acesso em linha:	https://www.mdpi.com/2076-3417/14/17/7723
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