Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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Fault Diagnosis Using Wavelet Transform Method for Random Signals

불규칙 신호의 웨이블렛 기법을 이용한 결함 진단

  • 김우택 (한양대학교 대학원 자동차공학과) ;
  • 심현진 (한양대학교 대학원 자동차공학과) ;
  • 아미누딘빈아부 (한양대학교 대학원 자동차공학과) ;
  • 이해진 (한양대학교 대학원 자동차공학과) ;
  • 이정윤 (경기대학교 기계시스템디자인공학부) ;
  • 오재응 (한양대학교 기계공학부)
  • Published : 2005.10.01
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Abstract

In this paper, time-frequency analysis using wavelet packet transform and advanced-MDSA (Multiple Dimensional Spectral Analysis) which based on wavelet packet transform is applied fur fault source identification and diagnosis of early detection of fault non-stationary sound/vibration signals. This method is analyzing the signal in the plane of instantaneous time and instantaneous frequency. The results of ordinary coherence function, which obtained by wavelet packet analysis, showed the possibility of early fault detection by analysis at the instantaneous time. So, by checking the coherence function trend, it is possible to detect which signal contains the major fault signal and to know how much the system is damaged. Finally, It is impossible to monitor the system is damaged or undamaged by using conventional method, because crest factor is almost constant under the range of magnitude of fault signal as its approach to normal signal. However instantaneous coherence function showed that a little change of fault signal is possible to monitor the system condition. And it is possible to predict the maintenance time by condition based maintenance for any stationary or non-stationary signals.

Keywords

References

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