国民教育序列学历>中英Mixture Bayesian regularization method of PPCA for multimode process monitoring 期刊名称： Aiche Journalreputation意思
作者： Zhiqiang Ge,Zhihuan Song
queer年份： 2010年
期号： 第11期lantivy
关键词： multimode process monitoring; Bayesian regularization; principalcityhall
component analysis; model localization
生活大爆炸第六季下载摘要：This article intends to address two drawbacks of the traditional principal component analysis (PCA)-bad monitoring method: (1) nonprobabilistic; (2) single operation mode assumption. On the basis of the monitoring framework of probabilistic PCA (PPCA), a Bayesian regularization method is introduced for performance improvement, through which the effective dimensionality of the latent variable can be determined automatically. For monitoring process with multiple operation modes, the
sienaBayesian regularization method is extended to its mixture form, thus a mixture Bayesian regularization method of PPCA has been developed. To enhance the monitoring performance, a novel probabilistic strategy has been propod for result combination in different operation modes. In addition, a new mode localization approach has also been developed, hid
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