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.