Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Fault Detection and Diagnosis of Automated Manufacturing Systems Using Petri Nets

패트리 네트를 이용한 자동화 제조 시스템의 오류 감지 및 진단에 관한 연구

  • Lee, J.B. (Dept. of Electronics Eng., Han Yang Univ.) ;
  • Lim, J. (Dept. of Electronics Eng., Han Yang Univ.)
  • 이종배 (한양대학교 전자공학과) ;
  • 임준홍 (한양대학교 전자공학과)
  • Published : 1993.11.26
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Abstract

In this paper, a method to detect and diagnose faults in Automated Manufacturing Systems(AMS) is proposed. In AMS, it is necessary to monitor the process-status. The detection and diagnosis of faults are often difficult in monitoring level with given passive data. We propose the model-based monitoring system for faults detection and diagnosis using Petri Nets to model AMS efficiently and easily. Simulation results show the validity of proposed method with example of Reverse Mill Process in Automated Mill Lines.

Keywords