붓스트랩을 활용한 이상원인변수의 탐지 기법
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 강지훈 | - |
dc.contributor.author | 김성범 | - |
dc.date.accessioned | 2021-09-07T17:57:14Z | - |
dc.date.available | 2021-09-07T17:57:14Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2011 | - |
dc.identifier.issn | 1229-1889 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/113808 | - |
dc.description.abstract | Multivariate control charts are widely used to monitor the performance of a multivariate process over time to maintain control of the process. Although existing multivariate control charts provide control limits to monitor the process and detect any extraordinary events, it is a challenge to identify the causes of an out-of-control alarm when the number of process variables is large. Several fault identification methods have been developed to address this issue. However, these methods require a normality assumption of the process data. In the present study, we propose a bootstrapped-based T^2 decomposition technique that does not require any distributional assumption. A simulation study was conducted to examine the properties of the proposed fault identification method under various scenarios and compare it with the existing parametric T^2 decomposition method. The simulation results showed that the proposed method produced better results than the existing one, especially in nonnormal situations. | - |
dc.language | Korean | - |
dc.language.iso | ko | - |
dc.publisher | 한국품질경영학회 | - |
dc.title | 붓스트랩을 활용한 이상원인변수의 탐지 기법 | - |
dc.title.alternative | Bootstrap-Based Fault Identification Method | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 김성범 | - |
dc.identifier.bibliographicCitation | 품질경영학회지, v.39, no.2, pp.234 - 243 | - |
dc.relation.isPartOf | 품질경영학회지 | - |
dc.citation.title | 품질경영학회지 | - |
dc.citation.volume | 39 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 234 | - |
dc.citation.endPage | 243 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001561602 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Hotelling’s T^2 | - |
dc.subject.keywordAuthor | Decomposition | - |
dc.subject.keywordAuthor | Bootstrap | - |
dc.subject.keywordAuthor | Multivariate Process | - |
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