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A Research on Fault Detection and Classification of Cyclic Signals Using Spline Regression and Support Vector Machine

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dc.contributor.authorKIM SUNG SHICK-
dc.date.accessioned2021-08-30T03:40:09Z-
dc.date.available2021-08-30T03:40:09Z-
dc.date.created2021-04-22-
dc.date.issued2009-07-08-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/49792-
dc.publisherFAIM-
dc.titleA Research on Fault Detection and Classification of Cyclic Signals Using Spline Regression and Support Vector Machine-
dc.typeConference-
dc.contributor.affiliatedAuthorKIM SUNG SHICK-
dc.identifier.bibliographicCitationInternational Conference on Flexible Automation and Intelligent Manufacturing, pp.415 - 422-
dc.relation.isPartOfInternational Conference on Flexible Automation and Intelligent Manufacturing-
dc.relation.isPartOfProceedings of the 19th International Conference on Flexible Automation and Intelligent Manufacturin-
dc.citation.titleInternational Conference on Flexible Automation and Intelligent Manufacturing-
dc.citation.startPage415-
dc.citation.endPage422-
dc.citation.conferencePlaceUK-
dc.citation.conferencePlaceTeesside University, Middlesbrough, UK-
dc.citation.conferenceDate2009-07-06-
dc.type.rimsCONF-
dc.description.journalClass1-
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