힐버트-황 변환을 이용한 시계열 데이터 관리한계 : 중첩주기의 사례
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 서정열 | - |
dc.contributor.author | 이세재 | - |
dc.date.available | 2020-04-24T12:25:37Z | - |
dc.date.created | 2020-03-31 | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 2005-0461 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/2071 | - |
dc.description.abstract | Real-life time series characteristic data has significant amount of non-stationary components, especially periodic componentsin nature. Extracting such components has required many ad-hoc techniques with external parameters set by users in a case-by-casemanner. In this study, we used Empirical Mode Decomposition Method from Hilbert-Huang Transform to extract them in asystematic manner with least number of ad-hoc parameters set by users. After the periodic components are removed, the remainingtime-series data can be analyzed with traditional methods such as ARIMA model. Then we suggest a different way of settingcontrol chart limits for characteristic data with periodic components in addition to ARIMA components. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | 한국산업경영시스템학회 | - |
dc.title | 힐버트-황 변환을 이용한 시계열 데이터 관리한계 : 중첩주기의 사례 | - |
dc.title.alternative | Control Limits of Time Series Data using Hilbert-Huang Transform : Dealing with Nested Periods | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 이세재 | - |
dc.identifier.bibliographicCitation | 한국산업경영시스템학회지, v.37, no.4, pp.35 - 41 | - |
dc.citation.title | 한국산업경영시스템학회지 | - |
dc.citation.volume | 37 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 35 | - |
dc.citation.endPage | 41 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001946474 | - |
dc.description.journalClass | 2 | - |
dc.subject.keywordAuthor | Hilbert-Huang Transform | - |
dc.subject.keywordAuthor | ARIMA | - |
dc.subject.keywordAuthor | Control Limits | - |
dc.subject.keywordAuthor | Periodic Data | - |
dc.subject.keywordAuthor | Time Series Model | - |
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