In-Process Monitoring of Chatter Vibration using Multiple Neural Network(II)

복합 신경회로망을 이용한 채터진동의 인프로세스 감시(II)

  • Kim, Jeong-Suk ;
  • Kang, Myeong-Chang ;
  • Park, Cheol
  • 김정석 (부산대학교 정밀기계공학과, 정밀정형 및 금형가공 연구센터) ;
  • 강명창 (부산대학교 기계기술연구소) ;
  • 박철 (부산대학교 정밀기계공학과 대학원)
  • Published : 1995.12.01

Abstract

The In-process minitoring of the chatter vibration is necessarily required to an automatic manufacturing system. In this study, we constructed a multi-sensing system using tool dynamoneter, accelerometer and AE(Acoustic Emission) sensor for a more credible detection of chatter vibration. And a new approach using a multiple neural network to extract the features of multi-sensor for the recognition chatter vibration is proposed. With the Back-propagation training process, the neural network memorize and classify the features of multi-sensor signals. As a result, it is shown by multiple neural network that the chatter vibration can be monitored accurately, and it can be widely used in practical unmanned system.

Keywords