Statistical Analysis of Nonlinear Processes Based on Penalty FactorReport as inadecuate




Statistical Analysis of Nonlinear Processes Based on Penalty Factor - Download this document for free, or read online. Document in PDF available to download.

Mathematical Problems in Engineering - Volume 2014 2014, Article ID 945948, 9 pages -

Research ArticleState Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Liaoning 100819, China

Received 25 July 2014; Accepted 17 August 2014; Published 30 September 2014

Academic Editor: Ligang Wu

Copyright © 2014 Yingwei Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.





Author: Yingwei Zhang, Chuanfang Zhang, and Wei Zhang

Source: https://www.hindawi.com/



DOWNLOAD PDF




Related documents