关键词: inferential sensing, multiway modeling, non-Gaussian distribution, online predictive monitoring, proc-ess supervision, wastewater treatment process

Abstract: A new on-line predictive monitoring and prediction model for periodic biological processes is proposedusing the multiway non-Gaussian modeling. The basic idea of this approach is to use multiway non-Gaussian modeling to extract some dominant key components from daily normal operation data in a periodic process, and subse-quently combining these components with predictive statistical process monitoring techniques. The proposed predictive monitoring method has been applied to fault detection and diagnosis in the biological wastewater-treatmentprocess, which is based on strong diurnal characteristics. The results show the power and advantages of the proposed predictive monitoring of a continuous process using the multiway predictive monitoring concept, which isthus able to give very useful conceptual results for a daily monitoring process and also enables a more rapid detection of the process fault than other traditional monitoring methods.

Key words: inferential sensing, multiway modeling, non-Gaussian distribution, online predictive monitoring, proc-ess supervision, wastewater treatment process