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Diagnostic system development for state monitoring of induction motor and oil level in press process system

프레스공정시스템에서 유도전동기 및 윤활유 레벨 상태모니터링을 위한 진단시스템 개발

  • 이인수 (경북대학교 이공대학 산업전자전기공학부)
  • Received : 2009.08.26
  • Accepted : 2009.10.15
  • Published : 2009.10.25

Abstract

In this paper, a fault diagnosis method is proposed to detect and classifies faults that occur in press process line. An oil level automatic monitoring method is also presented to detect oil level. The FFT(fast fourier transform) frequency analysis and ART2 NN(adaptive resonance theory 2 neural network) with uneven vigilance parameters are used to achieve fault diagnosis in proposing method, and GUI(graphical user interface) program for fault diagnosis and oil level automatic monitoring using LabVIEW is produced and fault diagnosis was done. The experiment results demonstrate the effectiveness of the proposed fault diagnosis method of induction motors and oil level automatic monitor system.

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