title: On-line adaptive and nonlinear process monitoring of a pilot-scale sequencing batch reactor.
abstract: 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.
authors.affiliation: BIOMATH, Department of Applied Mathematics, Biometrics and Process Control, Ghent University, Coupure Links 653, B-9000, Gent, Belgium. ckyoo@postech.edu
authors.forename: Chang Kyoo
authors.initials: CK
authors.lastname: Yoo
authors.forename: In-Beum
authors.initials: IB
authors.lastname: Lee
authors.forename: Peter A
authors.initials: PA
authors.lastname: Vanrolleghem
mesh_terms: D019149:Bioreactors; D004784:Environmental Monitoring / Q000379:methods / Q000706:statistics & numerical data*; D015999:Multivariate Analysis; D009862:Online Systems; D025341:Principal Component Analysis / Q000379:methods*