Milling Cutter Condition Monitoring Using Machine Learning Approach
A D Patange, Jegadeeshwaran R and N C Dhobale from School of Mechanical and Building Sciences, VIT University, India assess the applicability of ML approach for milling cutter fault diagnosis for reducing power consumption of drive of machine tool.
