International Journal of Precision Engineering and Manufacturing

Korean Society for Precision Engineering (한국정밀공학회)
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Development of a System for Diagnosing Faults in Rotating Machinery using Vibration Signals

  • Oh, Jae-Eung (School of Mechanical Engineering, Hanyang University) ;
  • Lee, Choong-Hwi (Daewoo Electronics Corporation., Washing Machine R&D Center) ;
  • Sim, Hyoun-Jin (Department of Mechanical Engineering, Hanyang University) ;
  • Lee, Hae-Jin (Department of Mechanical Engineering, Hanyang University) ;
  • Kim, Seong-Hyeon (Department of Mechanical Engineering, Hanyang University) ;
  • Lee, Jung-Youn (Division of Mechanical System Design Engineering, Kyonggi University)
  • Published : 2007.07.01
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Abstract

It is widely recognized that increasing the accuracy and diversity of rotating machinery necessitates an appropriate diagnostic technique and maintenance system. Until now, operators have monitored machinery using their senses or by analyzing simple changes to root mean square output values. We developed an expert diagnostic system that uses fuzzy inference to expertly assess the condition of a machine and allow operators to make accurate judgments. This paper describes the hardware and software of the expert diagnostic system. An assessment of the diagnostic performance for five fault phenomena typically found in pumps is also described.

Keywords

References

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