Lv31
218 积分 2026-07-16 加入
Swin-fusion: An adaptive multi-source information fusion framework for enhanced tool wear monitoring
12天前
已完结
Multi-task hierarchical domain adaptation multi-expert attention network for cross-domain tool wear monitoring and remaining useful life estimation
26天前
已完结
An innovative multisource multibranch metric ensemble deep transfer learning algorithm for tool wear monitoring
26天前
已完结
An evolutionary fusion framework with physics-informed and uncertainty-aware learning for tool wear prediction driven by milling force
1个月前
已完结
PI-KAF: A physics-informed constrained online interpretable monitoring method for tool wear
1个月前
已完结
Physics-informed self-supervised learning for tool wear monitoring leveraging signal and degradation features under limited labels
1个月前
已完结
A novel tool wear and remaining useful life prediction network based on multi-scale time–frequency information of milling force
1个月前
已完结
Neural networks with dual-view fusion feature learning mechanism: A method to improve micro-milling tool wear monitoring performance by enhancing feature generalization capabilities
1个月前
已关闭
Physics-informed multi-task heterogeneous transfer learning network for robust milling tool wear and RUL prediction under anomalous data conditions
2个月前
已完结
A cutting tool wear data-physics fusion-driven monitoring method
2个月前
已完结
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