Detection of Chatter using Wavelet Transform

웨이브렛 변환을 이용한 채터 검출

  • 오상록 (부경대학교 대학원 기계공학부) ;
  • 진도훈 (부경대학교 대학원 기계공학부) ;
  • 윤문철 (부경대학교 기계공학부) ;
  • 류인일 (부경대학교 기계공학부) ;
  • 하만경 (부경대학교 기계공학부)
  • Published : 2004.06.30


The chatter behaviour in endmilling is a complex and nonlinear phenomenon, so it is very difficult to detect and diagnose this chatter phenomenon, This paper presents new method for the detection of chatter in endmilling operation based on the wavelet transform. In this paper, the fundamental property of the wavelet transform is reviewed by comparing the spectrum of other algorithm such as FFT. This result using wavelet transform shows the possibiling of the chatter detection in endmilling operation.



Supported by : 한국과학재단