Remaining useful life prediction for turbofan engines using an attention-based data-driven deep-learning approach

The remaining useful life (RUL) estimate is the fundamental building block of prognostics and health management (PHM), a field that has the potential to increase system safety and save maintenance expenses. Because of their adaptable structures and improved effectiveness in handling nonlinear behavi...

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Hlavní autoři:	Osama A. Ghoneim, Ahmed Sleem, Ibrahim Gad, Tahani Allam
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	PeerJ Inc. 2025-12-01
Edice:	PeerJ Computer Science
Témata:	Prognostics and health management (PHM) Aero-engine prognosis Remaining useful life (RUL) Long short-term memory network (LSTM) Attention mechanism (AM)
On-line přístup:	https://peerj.com/articles/cs-3438.pdf
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