한국CDE학회논문집 (Korean Journal of Computational Design and Engineering)

  • 제18권4호
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  • Pages.250-257
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  • 2013
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  • 2508-4003(pISSN)
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  • 2508-402X(eISSN)
한국CDE학회 (Society for Computational Design and Engineering)
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실시간 고장 예방을 위한 이벤트 기반 결함원인분석 시스템

An Event-Driven Failure Analysis System for Real-Time Prognosis

  • 이양지 (울산과학기술대학교 디자인 및 인간공학부) ;
  • 김덕영 (울산과학기술대학교 디자인 및 인간공학부) ;
  • 황민순 (현대중공업 IT 융합추진부) ;
  • 정영수 (현대중공업 IT 융합추진부)
  • 투고 : 2013.03.14
  • 심사 : 2013.05.06
  • 발행 : 2013.08.01
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초록

This paper introduces a failure analysis procedure that underpins real-time fault prognosis. In the previous study, we developed a systematic eventization procedure which makes it possible to reduce the original data size into a manageable one in the form of event logs and eventually to extract failure patterns efficiently from the reduced data. Failure patterns are then extracted in the form of event sequences by sequence-mining algorithms, (e.g. FP-Tree algorithm). Extracted patterns are stored in a failure pattern library, and eventually, we use the stored failure pattern information to predict potential failures. The two practical case studies (marine diesel engine and SIRIUS-II car engine) provide empirical support for the performance of the proposed failure analysis procedure. This procedure can be easily extended for wide application fields of failure analysis such as vehicle and machine diagnostics. Furthermore, it can be applied to human health monitoring & prognosis, so that human body signals could be efficiently analyzed.

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참고문헌

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