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Indexed by:期刊论文

Date of Publication:2009-10-01

Journal:International Journal of Automation and Computing

Included Journals:EI、Scopus

Volume:6

Issue:4

Page Number:379-384

ISSN No.:14768186

Abstract: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.