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