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


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.


Statistical Method;Fault Diagnosis;Mahalanobis Distance


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