Remaining Useful Life Prediction Using Attention-LSTM Neural Network of Aircraft Engines

Accurate prediction of the Remaining Useful Life (RUL) is essential for the effective implementation of Prognostics and Health Management (PHM) in aerospace, particularly in enhancing aero-engine reliability and forecasting potential failures to reduce maintenance costs and human-related risks. The...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Marouane Dida, Abdelhakim Cheriet, Mourad Belhadj
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	The Prognostics and Health Management Society 2025-07-01
Цуврал:	International Journal of Prognostics and Health Management
Нөхцлүүд:	remaining useful life (rul) attention mechanism long short-term memory (lstm) deep learning prognostics and health management (phm)
Онлайн хандалт:	https://papers.phmsociety.org/index.php/ijphm/article/view/4274
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!