Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《中国化学工程学报(英文版)》 2012-06
Add to Favorite Get Latest Update

Phase Analysis and Identification Method for Multiphase Batch Processes with Partitioning Multi-way Principal Component Analysis (MPCA) Model

DONG Weiwei 1 , YAO Yuan 2 and GAO Furong 1, ** 1 National Engineering Research Center for Industrial Automation (South China), Guangzhou 511458, China 2 Department of Chemical Engineering, National Tsing Hua University, Hsinchu 30013, China  
Multi-way principal component analysis (MPCA) is the most widely utilized multivariate statistical process control method for batch processes. Previous research on MPCA has commonly agreed that it is not a suitable method for multiphase batch process analysis. In this paper, abundant phase information is revealed by way of partitioning MPCA model, and a new phase identification method based on global dynamic information is proposed. The application to injection molding shows that it is a feasible and effective method for multiphase batch process knowledge understanding, phase division and process monitoring.
【Fund】: Supported by the Guangzhou Scientific and Technological Project (2012J5100032);; Nansha District Independent Innovation Project (201103003)
【CateGory Index】: TQ019;O212.4
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【References】
Chinese Journal Full-text Database 5 Hits
1 Shi-jin REN;Yin LIANG;Xiang-jun ZHAO;Mao-yun YANG;National Laboratory of Industrial Control Technology, Zhejiang University;School of Computer Science & Technology, Jiangsu Normal University;;A novel multimode process monitoring method integrating LDRSKM with Bayesian inference[J];Frontiers of Information Technology & Electronic Engineering;2015-08
2 Jianwen Yang;Xiangguang Chen;Huaiping Jin;School of Chemical Engineering and Environment,Beijing Institute of Technology;;Online prediction for contamination of chlortetracycline fermentation based on Dezert–Smarandache theory[J];Chinese Journal of Chemical Engineering;2015-06
3 Kangling Liu;Xin Jin;Zhengshun Fei;Jun Liang;State Key Lab of Industrial Control Technology, Institute of Industrial Control Technology, Zhejiang University;School of Automation and Electrical Engineering, Zhejiang University of Science and Technology;;Adaptive partitioning PCA model for improving fault detection and isolation[J];Chinese Journal of Chemical Engineering;2015-06
4 Chunying Zhang;Sun Chen;Fang Wu;Kai Song;School of Chemical Engineering and Technology, Tianjin University;;A novel Q-based online model updating strategy and its application in statistical process control for rubber mixing[J];Chinese Journal of Chemical Engineering;2015-05
5 Xie Xiaoqing;Wang Jianlin;Zhao Liqiang;Yu Tao;College of Information Science and Technology,Beijing University of Chemical Technology;;KICA online monitoring based on phase and transition for batch process[J];计算机与应用化学;2014-10
【Citations】
Chinese Journal Full-text Database 2 Hits
1 WANG Zhifeng** and YUAN Jingqi Department of Automatic Control, Shanghai Jiao Tong University, Shanghai 200030, China Department of Automation,Shanghai Second Polytechnic University, Shanghai 201209, China State Key Laboratory of Bioreactor Engineering, East China University of Science & Technology, Shanghai 200237, China;Online Supervision of Penicillin Cultivations Based on Rolling MPCA[J];Chinese Journal of Chemical Engineering;2007-01
2 LI Yunfenga, WANG Zhifengb and YUAN Jingqia, c,** a Department of Automation, Shanghai Jiao Tong University, Shanghai 200030, China b Department of Automation, Shanghai Second Polytechnic University, Shanghai 201209, China c State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China;On-line Fault Detection Using SVM-based Dynamic MPLS for Batch Processes[J];Chinese Journal of Chemical Engineering;2006-06
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Hanyuan Zhang;Xuemin Tian;Xiaogang Deng;Lianfang Cai;College of Information and Control Engineering,China University of Petroleum (East China);;A local and global statistics pattern analysis method and its application to process fault identification[J];Chinese Journal of Chemical Engineering;2015-11
2 Lianfang Cai;Xuemin Tian;College of Information and Control Engineering, China University of Petroleum;;A new process monitoring method based on noisy time structure independent component analysis[J];Chinese Journal of Chemical Engineering;2015-01
3 Lianfang Cai;Xuemin Tian;Ni Zhang;College of Information and Control Engineering, China University of Petroleum;;A Kernel Time Structure Independent Component Analysis Method for Nonlinear Process Monitoring[J];Chinese Journal of Chemical Engineering;2014-Z1
4 ZHANG Yu-liang;ZHANG Bei-ke;MA Xin;CAO Liu-lin;School of Information Science and Technology,Beijing University of Chemical Technology;;A novel fault detection method for batch process based on digraph model[J];中国安全生产科学技术;2014-06
5 WANG Jianping;HU Yi;SHI Hongbo;Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education,East China University of Science and Technology;;Modeling of batch process based on higher order partial least squares[J];化工学报;2014-09
6 JIANG Qingchao and YAN Xuefeng ** Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai 200237, China;Statistical Monitoring of Chemical Processes Based on Sensitive Kernel Principal Components[J];Chinese Journal of Chemical Engineering;2013-06
7 DENG Xiaogang and TIAN Xuemin College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, China;Sparse Kernel Locality Preserving Projection and Its Application in Nonlinear Process Fault Detection[J];Chinese Journal of Chemical Engineering;2013-02
8 DONG Weiwei 1 , YAO Yuan 2 and GAO Furong 1, ** 1 National Engineering Research Center for Industrial Automation (South China), Guangzhou 511458, China 2 Department of Chemical Engineering, National Tsing Hua University, Hsinchu 30013, China;Phase Analysis and Identification Method for Multiphase Batch Processes with Partitioning Multi-way Principal Component Analysis (MPCA) Model[J];Chinese Journal of Chemical Engineering;2012-06
9 XIE Xiang and SHI Hongbo ** Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Ministry of Education, Shanghai 200237, China;Multimode Process Monitoring Based on Fuzzy C-means in Locality Preserving Projection Subspace[J];Chinese Journal of Chemical Engineering;2012-06
10 GAO Xuejin1,WANG Pu 1 ,QI Yongsheng 1,2 ,ZHANG Yating 1 ,ZHANG Huiqing 1 and YAN Aijun 1 1 College of Electronic Information and Control Engineering,Beijing University of Technology,Beijing 100124,China 2 College of Information Engineering,Inner Mongolia University of Technology,Huhhot 010051,China;An Optimal Control Strategy Combining SVM with RGA for Improving Fermentation Titer[J];Chinese Journal of Chemical Engineering;2010-01
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 Lianfang Cai;Xuemin Tian;Ni Zhang;College of Information and Control Engineering, China University of Petroleum;;A Kernel Time Structure Independent Component Analysis Method for Nonlinear Process Monitoring[J];Chinese Journal of Chemical Engineering;2014-Z1
2 Ouguan Xu;Yongfeng Fu;Hongye Su;Lijuan Li;Zhijiang College, Zhejiang University of Technology;State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems and Control, Zhejiang University;College of Automation and Electrical Engineering, Nanjing University of Technology;;A Selective Moving Window Partial Least Squares Method and Its Application in Process Modeling[J];Chinese Journal of Chemical Engineering;2014-07
3 Xian ZANG;Felipe P. VISTA IV;Kil To CHONG;Department of Electronic Engineering, Jeonbuk National University;Advanced Electronics and Information Research Center, Jeonbuk National University;;Fast global kernel fuzzy c-means clustering algorithm for consonant/vowel segmentation of speech signal[J];Journal of Zhejiang University-Science C(Computers & Electronics);2014-07
4 WANG Li;SHI Hongbo;School of Electrical and Electronic Engineering, Shanghai Institute of Technology;Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology;;Improved Kernel PLS-based Fault Detection Approach for Nonlinear Chemical Processes[J];Chinese Journal of Chemical Engineering;2014-06
5 YANG Guojun;LI Xiuxi;QIAN Yu;School of Chemical Engineering, South China University of Technology;;A Real-time Updated Model Predictive Control Strategy for Batch Processes Based on State Estimation[J];Chinese Journal of Chemical Engineering;2014-03
6 Yang Jianwen;Chen Xiangguang;Jin Huaiping;Wu Lei;School of Chemical Engineering and Environment,Beijing Institute of Technology;;Study on the industrial chlortetracycline fermentor glucose feed rate adjustment method based on soft sensor[J];仪器仪表学报;2014-02
7 JIANG Qingchao and YAN Xuefeng ** Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai 200237, China;Statistical Monitoring of Chemical Processes Based on Sensitive Kernel Principal Components[J];Chinese Journal of Chemical Engineering;2013-06
8 DENG Xiaogang and TIAN Xuemin College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, China;Sparse Kernel Locality Preserving Projection and Its Application in Nonlinear Process Fault Detection[J];Chinese Journal of Chemical Engineering;2013-02
9 DONG Weiwei 1 , YAO Yuan 2 and GAO Furong 1, ** 1 National Engineering Research Center for Industrial Automation (South China), Guangzhou 511458, China 2 Department of Chemical Engineering, National Tsing Hua University, Hsinchu 30013, China;Phase Analysis and Identification Method for Multiphase Batch Processes with Partitioning Multi-way Principal Component Analysis (MPCA) Model[J];Chinese Journal of Chemical Engineering;2012-06
10 XIE Xiang and SHI Hongbo ** Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Ministry of Education, Shanghai 200237, China;Multimode Process Monitoring Based on Fuzzy C-means in Locality Preserving Projection Subspace[J];Chinese Journal of Chemical Engineering;2012-06
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved