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A Fault Diagnosis on the Rotating Machinery Using Mahalanobis Distance

마할라노비스 거리를 이용한 회전기기의 이상진단

  • 박상길 (한양대학교 대학원 기계공학과) ;
  • 박원식 (한양대학교 대학원 기계공학과) ;
  • 정재은 (한양대학교 대학원 기계공학과) ;
  • 이유엽 (호원대학교 자동차. 기계공학부) ;
  • 오재응 (한양대학교 기계공학부)
  • Published : 2008.07.01

Abstract

As higher reliability and accuracy on production facilities are required to detect incipient faults, a diagnostic system for predictive maintenance of the facility is highly recommended. In this paper, we present a study on the application of vibration signals to diagnose faults for a Rotating Machinery using the Mahalanobis Distance-Taguchi System. RMS, Crest Factor and Kurtosis that is known as the Statistical Methods and the spectrum analysis are used to diagnose faults as parameters of Mahalanobis distance.

Keywords

Statistical Method;Fault Diagnosis;Mahalanobis Distance

References

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