Development of Diagnostic Expert System for Machining Process Ffailure Detection

가공공정의 이상상태진단을 위한 진단전문가시스템의 개발

  • Yoo, Song-Min ;
  • Kim, Young-Jin
  • 유송민 (경희대학교 기계공학과, 레이저공학연구소) ;
  • 김영진 (경희대학교 산업공학과, 산학협력기술연구원)
  • Published : 1997.11.01

Abstract

Fault diagnosis technique in machining system which is one of engineering techniques absolutely necessary to automation of manufacturing system has been proposed. As a whole, diagnosis process is explained by two steps: sensor data acquisition and reasoning current state of system with the given sensor data. Flexible disk grinding process implemented in milling machine was employed in order to obtain empirical manufacturing process information. Resistance force data during machining were acquired using tool dynamometer known as sensor which is comparably accurate and reliable in operation. Tool status during the process was analyzed using influnece diagram assigning probability from the statistical analysis procedure.

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