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dc.contributor.authorShi, Liangxingzh_CN
dc.contributor.authorHe, Qiumengzh_CN
dc.contributor.authorLiu, Jingyuazh_CN
dc.contributor.authorHe, Zhenzh_CN
dc.contributor.author刘婧媛zh_CN
dc.date.accessioned2015-07-22T07:04:10Z
dc.date.available2015-07-22T07:04:10Z
dc.date.issued2014zh_CN
dc.identifier.citationQuality and Reliability Engineering International, 2014zh_CN
dc.identifier.issn0748-8017zh_CN
dc.identifier.other20144700213893zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/90217
dc.description.abstractMeasurement system capability analysis is to determine whether the measurement system is capable for use in quality control. The existing research has been extended from univariate to multivariate cases. Two approaches, the multivariate analysis of variance (MANOVA) and the weighted principal components (WPC), were advocated in literature. The MANOVA method is constructed based on the volume ratio that treats the volume of constant-density contours as the variability estimations. However, it ignores the fact that the relative position change of multivariate measurement errors could affect the measurement system capability. The WPC method uses dimension reduction to reduce the complexity but is unable to build the precision-to-tolerance ratio because it does not include tolerance. In this paper, we propose a modified-region-based method to compute the precision-to-tolerance ratio, the percent of repeatability and reproducibility, and the signal-to-noise ratio. This method also incorporates the variance-covariance structure of the measurement errors when dealing with the constant-density contours of tolerances, total variation, and process variation. The performance of the modified-region-based method is evaluated based on a dataset from the literature and a set of relevant simulation. The proposed method proves to be effective compared with other methods. ? 2014 John Wiley & Sons, Ltd.zh_CN
dc.language.isoen_USzh_CN
dc.publisherJohn Wiley and Sons Ltdzh_CN
dc.source.urihttp://dx.doi.org/10.1002/qre.1724zh_CN
dc.subjectMultivariant analysiszh_CN
dc.subjectPrincipal component analysiszh_CN
dc.subjectQuality controlzh_CN
dc.subjectSignal to noise ratiozh_CN
dc.titleA modified region approach for multivariate measurement system capability analysiszh_CN
dc.typeArticlezh_CN


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