Event-driven Operation Process Monitoring of Sbr Wastewater Process
نویسندگان
چکیده
Due to slow time variation, variable run length and nonlinearity of sequencing batch reactor (SBR) wastewater treatment batch process, a multivariate statistical MPCA model based on double moving window along the time×variable axis and batch-axis is used for online monitoring the progress of sequencing batch reactor. Moving window MPCA along the time×variable axis can copy seamlessly with variable run length and needn’t estimate any deviations of the ongoing batch from the average trajectories. The MPCA model was updated by moving along the batch-axis. The proposed method has demonstrated that it performs better than traditional MPCA. Copyright © 2005 IFAC
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