An Ensemble-LSTM-Based Framework for Improved Prognostics and Health Management of Milling Machine Cutting Tools

Accurate Prognostics and Health Management (PHM) of cutting tools in Computer Numerical Control (CNC) milling machines is essential for minimizing downtime, improving product quality, and reducing maintenance costs. Previous studies have frequently applied deep learning, particularly Long Short-Term...

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Auteurs principaux:	Sahbi Wannes, Lotfi Chaouech, Jaouher Ben Ali, Eric Bechhoefer, Mohamed Benbouzid
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-12-01
Collection:	Machines
Sujets:	CNC milling machines cutting tool long short-term memory prognostics and health management remaining useful life
Accès en ligne:	https://www.mdpi.com/2075-1702/14/1/12
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