A Study on the Diagnosis of Cutting Tool States Using Cutting Conditions and Cutting Force Parameters(l) - Signal Processing and Feature Extraction -

절삭조건과 절삭력 파라메타를 이용한 공구상태 진단에 관한 연구(I) - 신호처리 및 특징추출 -

The detection of cutting tool states in machining is important for the automation. The information of cutting tool states in metal cutting process is uncertain. Hence a industry needs the system which can detect the cutting tool states in real time and control the feed motion. Cutting signal features must be sifted before the classification. In this paper the Fisher's linear discriminant function was applied to the pattern recognition of the cutting tool states successfully. Cutting conditions and cutting force para- meters have shown to be sensitive to tool states, so these cutting conditions and cutting force paramenters can be used as features for tool state detection.