시스템인식을 이용한 공구파손검출 알고리듬에 관한 연구

DOI QR코드

DOI QR Code

사승윤;유은이;유봉환
Sa, Seung-Yun;Yu, Eun-Lee;Ryu, Bong-Hwan

  • 발행 : 1997.06.01

초록

The demands for robotic and automatic system are continually increasing in manufacturing fields. There have been many studies to monitor and predict the system, but they have mainly focused upon measuring cutting force, and current of motor spindle, and upon using acoustic sensor, etc. In this study, digital image of time series sequence was acquired by taking advantage of optical technique. Mean square error was obtained from it and was available for useful observation data. The parameter was estimated using PAA(parameter adaptation algorithm) from observation data. AR(auto regressive) model was selected for system model and fifth order was decided according to parameter estimation. Uncorrelation test was also carried out to verify convergence of parameter. Through the proceedings, it was found that there was a system stability.

키워드

시스템인식;파라미터추정;시계열의 디지털 영상;관측데이터;사후예측오차