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In this paper, a new regression and reconstruction method for process monitoring is proposed. The main contributions of the proposed approaches are as follows: 1) a new nonlinear regression algorithm is proposed to extract the output-relevant variation, which, compared with the conventional algorithm, builds a more direct relationship between the input and output variables; 2) the fault direction...
In this paper, a directional kernel partial least squares (DKPLS) reconstruction method for process monitoring is proposed. Firstly, in order to build a more direct relationship between the input and output variables, a new KPLS algorithm which is called DKPLS algorithm is proposed to extract the output-relevant variation. And then, the fault direction is determined by calculating fault magnitude...
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