文献类型：期刊文献

英文题名：Multimode process monitoring using improved dynamic neighborhood preserving embedding

作者：Song, Bing[1];Ma, Yuxin[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：2014

卷号：135

起止页码：17

外文期刊名：CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

收录：;EI(收录号：20235015203422);WOS:【SCI-EXPANDED(收录号:WOS:000338396100002)】；

基金：This research is supported by the National Natural Science Foundation of China (No. 61374140) and Shanghai Pujiang Program (Project No. 12PJ1402200).

语种：英文

外文关键词：Multimode; Dynamic behaviors; Serial correlation; Neighborhood preserving embedding; Fault detection

摘要：Complex processes often have multiple operating modes due to different manufacturing strategies. Meanwhile, within-mode process data usually exhibit dynamic behaviors and the data sample obtained at the present time may be correlated with those sampled for the previous and the next moment. In this paper, a novel improved dynamic neighborhood preserving embedding (IDNPE) algorithm is put forward and a new monitoring approach is proposed based on IDNPE. Different from the conventional principal component analysis (PCA) which aims at preserving the global structure of the data set, the proposed IDNPE tries to preserve the local neighborhood structure of the data set. In order to consider the scales of different variables within-mode and those of the same variables mode-to-mode, a novel distance which contains the local standard deviation information is employed in the IDNPE method. Moreover, for the dynamic behaviors of a single mode, the serial correlation is taken into account. Instead of constructing multiple monitoring models for multimode processes, the proposed IDNPE method builds only one global model without priori process knowledge. Finally, to test the modeling and monitoring performance of the proposed method, a numerical example and the Tennessee Eastman (TE) benchmark case studies are provided. (C) 2014 Elsevier B.V. All rights reserved.