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What is Lightweight Tool Wear Monitoring Method about?

This document presents a lightweight and interpretable tool wear monitoring method for intelligent machine tools, addressing challenges in accuracy, computational costs, and interpretability. The proposed method utilizes a feature self-adaptive reconstruction strategy and a nonlinear cumulative wear model to enhance recognition accuracy, particularly in later wear stages. Experimental results demonstrate significant improvements in model performance, making it suitable for edge deployment in real-time appli

Author

Deep Paresh Patel

Language

EN