Abstract
In the paper, a new online monitoring approach is proposed for handling the multimode monitoring problem in the industrial batch processes. Compared to conventional method, the contributions are as follows: 1) The LTSA algorithm is applied to the multi-mode batches process. And a common subspace is extracted via the new method proposed instead of extracting the common subspaces of each mode. 2) After those 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., Zhang, H. (2012). Data-Based Modeling and Monitoring for Multimode Processes Using Local Tangent Space Alignment. 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_20
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DOI: https://doi.org/10.1007/978-3-642-31346-2_20
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