Transactions of the Korean Society of Mechanical Engineers A (대한기계학회논문집A)

The Korean Society of Mechanical Engineers (대한기계학회)
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A Study on the Tool Fracture Detection Algorithm Using System Identification

시스템인식을 이용한 공구파손검출 알고리듬에 관한 연구

  • Sa, Seung-Yun (Dept.of Mechanical Engineering, Graduate School of Soongsil University) ;
  • Yu, Eun-Lee (Dept.of Mechanical Engineering, Graduate School of Soongsil University) ;
  • Ryu, Bong-Hwan (Dept.of Mechanical Engineering, Graduate School of Soongsil University)
  • 사승윤 (숭실대학교 대학원 기계공학과) ;
  • 유은이 (숭실대학교 대학원 기계공학과) ;
  • 유봉환 (숭실대학교 기계공학과)
  • Published : 1997.06.01
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Abstract

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.

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