제조업의 주기성 시계열분석에서 힐버트 황 변환의 효용성 평가
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이세재 | - |
dc.contributor.author | 서정열 | - |
dc.date.available | 2020-04-24T13:25:24Z | - |
dc.date.created | 2020-03-31 | - |
dc.date.issued | 2012 | - |
dc.identifier.issn | 2005-0461 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/2666 | - |
dc.description.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. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 한국산업경영시스템학회 | - |
dc.title | 제조업의 주기성 시계열분석에서 힐버트 황 변환의 효용성 평가 | - |
dc.title.alternative | Evaluating Efficacy of Hilbert-Huang Transform in Analyzing Manufacturing Time Series Data with Periodic Components | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 이세재 | - |
dc.identifier.bibliographicCitation | 한국산업경영시스템학회지, v.35, no.2, pp.106 - 112 | - |
dc.citation.title | 한국산업경영시스템학회지 | - |
dc.citation.volume | 35 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 106 | - |
dc.citation.endPage | 112 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001677755 | - |
dc.description.journalClass | 2 | - |
dc.subject.keywordAuthor | Hilbert-Huang Transformation | - |
dc.subject.keywordAuthor | Time-Series Data | - |
dc.subject.keywordAuthor | Control Limits | - |
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