caa a22 4500 467903441 CHVBK 20180406152826.0 cr unu---uuuuu 170328e20060801xx s 000 0 eng 10.1007/s10661-005-9030-7 doi (NATIONALLICENCE)springer-10.1007/s10661-005-9030-7 On-Line Adaptive and Nonlinear Process Monitoring of a Pilot-Scale Sequencing Batch Reactor [Elektronische Daten] [Chang Yoo, In-Beum Lee, Peter Vanrolleghem] This article describes the application of on-line nonlinear monitoring of a sequencing batch reactor (SBR). Three-way batch data of SBR are unfolded batch-wisely, and then a adaptive and nonlinear multivariate monitoring method is used to capture the nonlinear characteristics of normal batches. The approach is successfully applied to an 80 L SBR for biological wastewater treatment, where the SBR poses an interesting challenge in view of process monitoring since it is characterized by nonstationary, batchwise, multistage, and nonlinear dynamics. In on-line batch monitoring, the developed adaptive and nonlinear process monitoring method can effectively capture the nonlinear relationship among process variables of a biological process in a SBR. The results of this pilot-scale SBR monitoring system using simple on-line measurements clearly demonstrated that the adaptive and nonlinear monitoring technique showed lower false alarm rate and physically meaningful, that is, robust monitoring results. Springer Science + Business Media, Inc, 2006 adaptive batch monitoring nationallicence multiway kernel principal component analysis (MKPCA) nationallicence nonlinear biological process nationallicence sequencing batch reactor (SBR) nationallicence Yoo Chang BIOMATH, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, B-9000, Gent, Belgium aut Lee In-Beum School of Environmental Science and Engineering, Department of Chemical Engineering, Pohang University of Science and Technology, Pohang, Korea aut Vanrolleghem Peter BIOMATH, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, B-9000, Gent, Belgium aut Environmental Monitoring and Assessment Kluwer Academic Publishers 119/1-3(2006-08-01), 349-366 0167-6369 119:1-3<349 2006 119 10661 https://doi.org/10.1007/s10661-005-9030-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10661-005-9030-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yoo Chang BIOMATH, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, B-9000, Gent, Belgium aut NATIONALLICENCE 700 1- Lee In-Beum School of Environmental Science and Engineering, Department of Chemical Engineering, Pohang University of Science and Technology, Pohang, Korea aut NATIONALLICENCE 700 1- Vanrolleghem Peter BIOMATH, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, B-9000, Gent, Belgium aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Kluwer Academic Publishers 119/1-3(2006-08-01), 349-366 0167-6369 119:1-3<349 2006 119 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer