文献类型：期刊文献

英文题名：Multisubspace Elastic Network for Multimode Quality-Related Process Monitoring

作者：Song, Bing[1];Yan, Huaicheng[1,2];Shi, Hongbo[1];Tan, Shuai[1]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Tongji Univ, Shanghai Inst Intelligent Sci & Technol, Shanghai 200092, Peoples R China

年份：2020

卷号：16

期号：9

起止页码：5874

外文期刊名：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

收录：;EI(收录号：20202408809990);WOS:【SCI-EXPANDED(收录号:WOS:000542966300023)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61673173, Grant 61703161, Grant 61673178, and Grant 61673177; in part by the National Natural Science Foundation of Shanghai under Grant 19ZR1473200 and Grant 17ZR1444700; in part by Shanghai Shuguang Project under Grant 18SG18; in part by the Program of Shanghai Academic Research Leader under Grant 19XD1421000; and in part by Fundamental Research Funds for the Central Universities under Grant 222201717006. Paper no. TII-19-2572.R1.

语种：英文

外文关键词：Clustering algorithms; Partitioning algorithms; Hidden Markov models; Informatics; Feature extraction; Fault detection; fault diagnosis; multimode process; process monitoring; quality related

摘要：In this article, a novel multimode quality-related process monitoring method called multisubspace elastic network (MSEN) is proposed. To make mode partition more precisely, this article develops a novel clustering algorithm based on the neighborhood information and subtractive clustering algorithm. In each single mode, unlike conventional process monitoring models that only focus on whether the fault occurs, a novel elastic network based quality-related process monitoring model is established to judge whether the fault is quality related or not. In addition, to select the most suitable monitoring model for online data, the k-nearest neighbor rule and the voting strategy are applied. Once the fault is detected, the contribution plot method is used in both quality-related and quality-unrelated subspace for fault diagnosis. Finally, the proposed MSEN method is tested under the continuous stirred tank reactor to verify its superiority and advantage.