Milling Tool Wear State Recognition by Vibration Signal Using a Stacked Generalization Ensemble Model
Milling tool wear state recognition plays an important Wooden Kit role in controlling the quality of milled parts and reducing machine tool downtime.However, the characteristics of milling process limit the accuracy and stability of tool condition monitoring (TCM) employing vibration signals.To improve this problem, this paper explores the use of v