naa a22 4500 510819222 CHVBK 20180411083523.0 cr unu---uuuuu 180411e20130601xx s 000 0 eng 10.1007/s11814-013-0034-7 doi (NATIONALLICENCE)springer-10.1007/s11814-013-0034-7 Fault detection in nonlinear chemical processes based on kernel entropy component analysis and angular structure [Elektronische Daten] [Qingchao Jiang, Xuefeng Yan, Zhaomin Lv, Meijin Guo] Considering that kernel entropy component analysis (KECA) is a promising new method of nonlinear data transformation and dimensionality reduction, a KECA based method is proposed for nonlinear chemical process monitoring. In this method, an angle-based statistic is designed because KECA reveals structure related to the Renyi entropy of input space data set, and the transformed data sets are produced with a distinct angle-based structure. Based on the angle difference between normal status and current sample data, the current status can be monitored effectively. And, the confidence limit of the angle-based statistics is determined by kernel density estimation based on sample data of the normal status. The effectiveness of the proposed method is demonstrated by case studies on both a numerical process and a simulated continuous stirred tank reactor (CSTR) process. The KECA based method can be an effective method for nonlinear chemical process monitoring. Korean Institute of Chemical Engineers, Seoul, Korea, 2013 Kernel Entropy Component Analysis nationallicence Process Monitoring nationallicence Fault Detection nationallicence Angular Structure nationallicence Jiang Qingchao Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, 200237, Shanghai, P. R. China aut Yan Xuefeng Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, 200237, Shanghai, P. R. China aut Lv Zhaomin Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, 200237, Shanghai, P. R. China aut Guo Meijin State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 200237, Shanghai, P. R. China aut Korean Journal of Chemical Engineering Springer US; http://www.springer-ny.com 30/6(2013-06-01), 1181-1186 0256-1115 30:6<1181 2013 30 11814 https://doi.org/10.1007/s11814-013-0034-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11814-013-0034-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jiang Qingchao Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, 200237, Shanghai, P. R. China aut NATIONALLICENCE 700 1- Yan Xuefeng Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, 200237, Shanghai, P. R. China aut NATIONALLICENCE 700 1- Lv Zhaomin Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, 200237, Shanghai, P. R. China aut NATIONALLICENCE 700 1- Guo Meijin State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 200237, Shanghai, P. R. China aut NATIONALLICENCE 773 0- Korean Journal of Chemical Engineering Springer US; http://www.springer-ny.com 30/6(2013-06-01), 1181-1186 0256-1115 30:6<1181 2013 30 11814 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer