文献类型：期刊文献

英文题名：Process monitoring via enhanced neighborhood preserving embedding

作者：Song, Bing[1];Tan, Shuai[1];Shi, Hongbo[1]

机构：[1]E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

年份：2016

卷号：50

起止页码：48

外文期刊名：CONTROL ENGINEERING PRACTICE

收录：;EI(收录号：20161102083252);WOS:【SCI-EXPANDED(收录号:WOS:000374612600005)】；

基金：This research is supported by the National Natural Science Foundation of China (Nos. 61374140 and 61403072).

语种：英文

外文关键词：Process monitoring; Neighborhood preserving embedding; Dual weight matrix; Enhanced objective function; Enhanced neighborhood preserving embedding

摘要：A novel process monitoring scheme named enhanced neighborhood preserving embedding (ENPE) is proposed. Neighborhood preserving embedding (NPE) only considers the reconstruction error on the basis of each local neighborhood is linear. For the purpose of addressing both the reconstruction error and the distance, the dual weight matrix and the enhanced objective function are constructed in the ENPE method. Finally, under a numerical example and the Tennessee Eastman (TE) benchmark, the superiority of the proposed ENPE method is evaluated through comparing with principal component analysis (PCA) and NPE. (C) 2016 Elsevier Ltd. All rights reserved.