The Abnormal Condition Diagnosis of Compressor Parts using Multi-signal Sensing

복합신호 검출에 의한 압축기 부품의 상태 진단

  • 이감규 (LG전자(주)) ;
  • 김전하 (부산대학교 기계기술연구소) ;
  • 강익수 (부산대학교 정밀기계공학과 대학원) ;
  • 강명창 (부산대학교 정밀정형 및 금형 가공 연구소) ;
  • 김정석 (부산대학교 기계공학부)
  • Published : 2004.09.30

Abstract

In this study, the characteristics of signals such as acoustic emission, vibration amplitude and noise level which are derived from the abnormal condition of compressor are investigated. The normal condition, vane stick sound and roller defect condition are chosen to analyze the signal in each cases. From the feature extraction of each signals, the dominant parameters of each signals which can identify the abnormal condition are suggested.

Keywords