초록

본 논문에서는 프레스공정라인에서 발생하는 고장을 감지하고 분류하기 위한 고장진단기법을 제안한다. 또한 윤활유 레벨을 자동감지 하기 위한 방법도 제안하다. 제안한 방법에서는 FFT 주파수해석과 여러 경계인수를 갖는 ART2 신경회로망을 사용하며, LabVIEW를 이용하여 고장진단 및 윤활유 레벨 자동감시를 위한 GUI(Graphical User Interface) 프로그램을 제작하여 고장진단을 수행하였다. 실험결과들로부터 제안한 유도전동기 고장진단 및 윤활유 레벨 자동감시시스템의 성능을 확인하였다.

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.

주제어

#고장진단   #유도전동기   #윤활유 레벨   #프레스시스템   #ART2 신경회로망   #주파수해석  

저자의 다른 논문

참고문헌 (14)

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이 논문을 인용한 문헌 (1)

1. Kim, Jung-Sook ; Kim, Jae-Hyeong ; Jeong, Jun-Ho ; Chung, Jang-Young 2013. "Development of the Metal Casting Process Management System Based on Touch Screen" 한국지능시스템학회 논문지 = Journal of Korean institute of intelligent systems, 23(3): 244~248  원문보기 상세보기