期刊
IFAC PAPERSONLINE
卷 51, 期 18, 页码 315-320出版社
ELSEVIER
DOI: 10.1016/j.ifacol.2018.09.319
关键词
Fractionation process; Dynamic modeling; Quality related monitoring
资金
- National Natural Science Foundation of China [61590922, 61525302, 61673097, 61573022, 61490704]
- Project of Ministry of Industry and Information Technology of China [20171122-6]
- Projects of Shenyang [Y17-0-004]
- Fundamental Research Funds for the Central Universities [N160801001, N161608001]
The fractionation process is a typical dynamic process, and practitioners highly pay attention to the quality-related abnormal in the real refining processes. In this paper, a modified dynamic PLS (MDPLS) modeling method and the corresponding process monitoring strategy are proposed. The main contributions of the proposed method are in the following. First, a clear dynamic relation is captured between process data and quality indices. Moreover, the process and quality space are comprehensively divided into dynamic quality-related subspace, static quality-unrelated subspace as well as the residual space for improving the performance of monitoring. Finally, the effectiveness of the proposed algorithm is demonstrated with the data from a real fractionation process. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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