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In this paper, new monitoring approach, hierarchical kernel partial least squares (HKPLS), is proposed for the batch processes. The advantages of HKPLS are: (1) HKPLS gives more nonlinear information compared to hierarchical partial least squares (HPLS) and multi-way PLS (MPLS) and (2) a new batch process monitoring using HKPLS does not need to estimate or fill in the unknown part of the process variable...
In the paper, a new approach, a consecutively updated hierarchical kernel partial least squares (UHKPLS) model was proposed. Using multiway partial least squares (MPLS) monitor industrial batch processes has followed disadvantages: 1) MPLS is a linear projection method, which cannot effectively capture the nonlinear features existing in most batch processes. 2) It is limited that complete batch process...
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