Tool Wear Condition Prediction Method Based on Sparse Identification of Nonlinear Dynamics (SINDy)

Current deep learning methods for tool wear monitoring suffer from poor interpretability and struggle to reveal the intrinsic relationship between signals and wear states. To address this issue, this paper presents an interpretable tool wear monitoring method based on Sparse Identification of Nonlin...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Mengyao Si, Xinhang Shang, Li Sun, Yaqing Dong, Xue Jiang
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	MDPI AG 2026-06-01
Цуврал:	Lubricants
Нөхцлүүд:	milling SINDy tool condition monitoring (TCM) machine learning
Онлайн хандалт:	https://www.mdpi.com/2075-4442/14/6/242
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!