동력기계공학회지 (Journal of Power System Engineering)

  • 제20권2호
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  • Pages.66-72
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  • 2016
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  • 2713-8429(pISSN)
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  • 2713-8437(eISSN)
한국동력기계공학회 (The Korean Society for Power System Engineering)
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오신호 입력에 따른 펌프의 고장징후 조기감지 성능분석

Performance Analysis on Early Detection of Fault Symptom of a Pump with Abnormal Signals

  • 정재영 (한국수력원자력 중앙연구원 설비기술연구소) ;
  • 이병오 (한국수력원자력 중앙연구원 설비기술연구소) ;
  • 김형균 (한국수력원자력 중앙연구원 설비기술연구소) ;
  • 김대웅 (한국수력원자력 중앙연구원 설비기술연구소)
  • Jung, Jae-Young (Central Research Institute, Equipment Engineering Laboratory, Korea Hydro & Nuclear Power Co.) ;
  • Lee, Byoung-Oh (Central Research Institute, Equipment Engineering Laboratory, Korea Hydro & Nuclear Power Co.) ;
  • Kim, Hyoung-Kyun (Central Research Institute, Equipment Engineering Laboratory, Korea Hydro & Nuclear Power Co.) ;
  • Kim, Dae-Woong (Central Research Institute, Equipment Engineering Laboratory, Korea Hydro & Nuclear Power Co.)
  • 투고 : 2016.02.12
  • 심사 : 2016.04.05
  • 발행 : 2016.04.30
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초록

As a method to improve the equipment reliability, early warning researches that can be detected fault symptom of an equipment at an early stage are being performed out among developed countries. In this paper, when abnormal signal is input to actual normal signal of a pump, early detection studies on pump's fault symptom were carried out with auto-associative kernel regression as an advanced pattern recognition algorithm. From analysis, correlations among power of motor driving pump, discharge flow of pump, power output of pump, and discharge pressure of pump are exited. When the abnormal signal is input to one of those normal signals, the other expected values are changed due to the influence of the abnormal signal. Therefore, the fault symptom of pump through the early-warning index is able to detect at an early stage.

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참고문헌

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