회전속도가 변화하는 절삭력신호에서의 채터 분석법

The detection and analysis of chatter behaviour in endmilling is very complex and difficult, so it is necessary to detect and diagnose this chatter phenomenon clearly. This paper presents a new method for detecting the abnormal chatter in endmilling operation, based on the wavelet transform. To verify the chatter ARMAX spectrum was used. By comparing the ARMAX spectrum with input of noise, the fundamental property of chatter and the characteristics of the wavelet transform is reviewed This result obtained by wavelet transform shows the possibility and reliability for detecting the chatter in endmilling.