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Open access Sep 2026

Intelligent sensor-based fault diagnosis and tool wear prediction for CNC milling using hybrid machine learning

This study proposes an intelligent sensor-based fault diagnosis framework that integrates advanced feature selection and hybrid machine learning techniques for CNC cutting TCM and indicates excellent fault detection capability and robust multi-class classification performance across different tool wear conditions.

Run-Dong Shen, Mei Liu, Jin-Yan Shi · 0 citations

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