Abstract
In the paper, a new monitoring approach is proposed for handling the dynamic problem in the industrial batch process. Compared to conventional method, the contributions are as follows:1) Multimodes are separated correctly since the cross-mode correlations are considered and the common information is extracted.2) a manifold learning approach(LLE) is implemented to extract the common information.3)after that two different subspaces are separated, the common and specific subspace models are built and analyzed respectively. The monitoring is carried out in subspace. The corresponding confidence regions are constructed according to their models respectively.
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Zhang, Y., Wang, C. (2012). Modeling and Monitoring of Multimodes Process. In: Wang, J., Yen, G.G., Polycarpou, M.M. (eds) Advances in Neural Networks – ISNN 2012. ISNN 2012. Lecture Notes in Computer Science, vol 7367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31346-2_19
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DOI: https://doi.org/10.1007/978-3-642-31346-2_19
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