Abstract
An extension algorithm, exponentially weighted dynamic principal component analysis (EWDPCA) algorithm is proposed to monitor the dynamic process, in particular for disturbances and set points changes in process. The technique is validated through simulation in the process of actual chemical polymerization. The results show that the EWDPCA algorithm can eliminate the linear relationship among variables and reflect the real-time information in dynamic process.
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© 2011 Springer-Verlag Berlin Heidelberg
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Zhou, Y., Wang, Q., Yang, G., Qiu, D. (2011). Research of the New Principal Component Analysis Algorithm Based on the Dynamic Model. In: Jiang, L. (eds) Proceedings of the 2011 International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19-20, 2011, Melbourne, Australia. Advances in Intelligent and Soft Computing, vol 110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25185-6_64
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DOI: https://doi.org/10.1007/978-3-642-25185-6_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25184-9
Online ISBN: 978-3-642-25185-6
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