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论文类型：期刊论文

发表时间：2009-10-01

发表刊物：International Journal of Automation and Computing

收录刊物：EI、Scopus

卷号：6

期号：4

页面范围：379-384

ISSN号：14768186

摘要：The composition of the distillation column is a very important quality value in refineries, unfortunately, few hardware sensors are available on-line to measure the distillation compositions. In this paper, a novel method using sensitivity matrix analysis and kernel ridge regression (KRR) to implement on-line soft sensing of distillation compositions is proposed. In this approach, the sensitivity matrix analysis is presented to select the most suitable secondary variables to be used as the soft sensor's input. The KRR is used to build the composition soft sensor. Application to a simulated distillation column demonstrates the effectiveness of the method. © Institute of Automation, Chinese Academy of Sciences and Springer Berlin Heidelberg 2009.