시계열 모델과 프랙탈 해석을 이용한 공구마멸 감시

Tool Wear Monitoring using Time Series Model and Fractal Analysis

Tool wear monitoring is very important aspect in metal cutting because tool wear effects quarity and precision of workpiece, tool life etc. In this study we detected force signal through tool dynamometer in turning and using it we conducted 6th AR modeling and fractal analysis. Finally the back-propagation model of the neural network is utilized to monitor tool wear and features are extracted through AR model and fractal analysis.