Pyramid Pooling‑Based Vision Transformer for Tool Condition Recognition

This study focuses on tool condition recognition through data-driven approaches to enhance the intelligence level of computerized numerical control （CNC） machining processes and improve tool utilization efficiency. Traditional tool monitoring methods that rely on empirical knowledge or limited mathe...

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Autori principali:	ZHENG Kun, LI Yonglin, GU Xinyan, DING Zhiying, ZHU Haihua
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Editorial Office of Transactions of Nanjing University of Aeronautics and Astronautics 2025-06-01
Serie:	Transactions of Nanjing University of Aeronautics and Astronautics
Soggetti:	tool condition recognition transformer pyramid pooling deep convolutional neural network
Accesso online:	https://tnuaa.nuaa.edu.cn/njhkhten/article/abstract/202503005?st=article_issue
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