제조업의 주기성 시계열분석에서 힐버트 황 변환의 효용성 평가Evaluating Efficacy of Hilbert-Huang Transform in Analyzing Manufacturing Time Series Data with Periodic Components
- Other Titles
- Evaluating Efficacy of Hilbert-Huang Transform in Analyzing Manufacturing Time Series Data with Periodic Components
- Authors
- 이세재; 서정열
- Issue Date
- 2012
- Publisher
- 한국산업경영시스템학회
- Keywords
- Hilbert-Huang Transformation; Time-Series Data; Control Limits
- Citation
- 한국산업경영시스템학회지, v.35, no.2, pp.106 - 112
- Journal Title
- 한국산업경영시스템학회지
- Volume
- 35
- Number
- 2
- Start Page
- 106
- End Page
- 112
- URI
- https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/2666
- ISSN
- 2005-0461
- Abstract
- 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 case-by-case manner. In our study, we evaluate whether Hilbert-Huang Transform, a new tool of time-series analysis can be used for effective analysis of such data. It is divided into two points : 1) how effective it is in finding periodic components, 2) whether we can use its results directly in detecting values outside control limits, for which a traditional method such as ARIMA had been used.
We use glass furnace temperature data to illustrate the method.
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