Single-source domain tool wear prediction based on generated feature generalization

Tool wear monitoring is essential for intelligent manufacturing. Although multi-source domain generalization methods do not rely on target-domain data, their practical deployment is still constrained because they require labeled samples from multiple source domains. This limitation mainly stems from...

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Κύριοι συγγραφείς:	Zisheng Li, Xiaoping Xiao, Honghao Fu, Tengfei Jiang, Lin Jing, Wen Xiong
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Elsevier 2026-03-01
Σειρά:	Egyptian Informatics Journal
Θέματα:	Single-source domain generalization Tool wear prediction Generated feature generalization Mutual information Maximum mean discrepancy
Διαθέσιμο Online:	http://www.sciencedirect.com/science/article/pii/S1110866526000241
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