Statistical Analysis of Nonlinear Processes Based on Penalty Factor

Yingwei Zhang, Chuanfang Zhang and Wei Zhang

Mathematical Problems in Engineering, 2014, vol. 2014, 1-9

Abstract:

A new process monitoring approach is proposed for handling the nonlinear monitoring problem in the electrofused magnesia furnace (EFMF). Compared to conventional method, the contributions are as follows: (1) a new kernel principal component analysis is proposed based on loss function in the feature space; (2) the model of kernel principal component analysis based on forgetting factor is updated; (3) a new iterative kernel principal component analysis algorithm is proposed based on penalty factor.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:945948

DOI: 10.1155/2014/945948

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