Combination of multivariate statistical process control and classification tool for situation assessment applied to a sequencing batch reacto wastewater treatment

Abstract

A combination of Multivariate Statistical Process Control (MSPC) and an automatic classification algorithm has been developed to be applied in a Waste Water Treatment Plant. Two extensions of the Principal Component Analysis have been used as MSPC method to diagnose the process and Fuzzy Technique used to classify situation assessment of the process. The goal is to perform situation assessment and classify the process with simple groups that describe the batch contributions and helps to fix the limits used to determine abnormal situations.