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특이치 분해를 이용한 중복 센서의 FDI 기법과 성능 분석

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dc.contributor.author양철관-
dc.contributor.author심덕선-
dc.date.available2019-07-16T05:57:55Z-
dc.date.issued2004-
dc.identifier.issn1976-5622-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/28760-
dc.description.abstractIn this paper, we propose a FDI method, which comes from singular value decomposition of measurement matrix for redundant sensors. We analyze the performance of the proposed FDI method by comparing with the GLT method in two ways such as FDI performance and GN&C performance. Also, we propose a GN&C performance index by combining FDI and GN&C performance.-
dc.format.extent7-
dc.publisher제어·로봇·시스템학회-
dc.title특이치 분해를 이용한 중복 센서의 FDI 기법과 성능 분석-
dc.title.alternativeFault Detection and Isolation using Singular Value Decomposition for Redundant Sensors System-
dc.typeArticle-
dc.identifier.bibliographicCitation제어.로봇.시스템학회 논문지, v.10, no.4, pp 364 - 370-
dc.identifier.kciidART001116205-
dc.description.isOpenAccessN-
dc.citation.endPage370-
dc.citation.number4-
dc.citation.startPage364-
dc.citation.title제어.로봇.시스템학회 논문지-
dc.citation.volume10-
dc.publisher.location대한민국-
dc.subject.keywordAuthorfault detection and isolation(FDI)-
dc.subject.keywordAuthorredundant sensors-
dc.subject.keywordAuthorsingular value decomposition(SVD)-
dc.subject.keywordAuthorinertial navigation system(INS)-
dc.description.journalRegisteredClasskci-
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