산업경영시스템학회지 (Journal of Korean Society of Industrial and Systems Engineering)

  • 제37권4호
  • /
  • Pages.35-41
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  • 2014
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  • 2005-0461(pISSN)
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  • 2287-7975(eISSN)
한국산업경영시스템학회 (Society of Korea Industrial and System Engineering)
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힐버트-황 변환을 이용한 시계열 데이터 관리한계 : 중첩주기의 사례

Control Limits of Time Series Data using Hilbert-Huang Transform : Dealing with Nested Periods

  • 서정열 (금오공과대학교 산업공학부) ;
  • 이세재 (금오공과대학교 산업공학부)
  • Suh, Jung-Yul (School of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Lee, Sae Jae (School of Industrial Engineering, Kumoh National Institute of Technology)
  • 투고 : 2014.08.11
  • 심사 : 2014.11.10
  • 발행 : 2014.12.31
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초록

Real-life time series characteristic data has significant amount of non-stationary components, especially periodic components in nature. Extracting such components has required many ad-hoc techniques with external parameters set by users in a case-by-case manner. In this study, we used Empirical Mode Decomposition Method from Hilbert-Huang Transform to extract them in a systematic manner with least number of ad-hoc parameters set by users. After the periodic components are removed, the remaining time-series data can be analyzed with traditional methods such as ARIMA model. Then we suggest a different way of setting control chart limits for characteristic data with periodic components in addition to ARIMA components.

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