Adaptive fuzzy pattern recognition in the anaerobic digestion process
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TL;DR
How the Fuzzy C-Means (FCM) classification algorithm can be used in this application and enhanced with an adaptive capability, enabling the supervisory control system to detect process departure from normal operating conditions is described.
Abstract
This paper addresses the problem of coordinating the operation of several units of a biological wastewater treatment process in order to avoid process failure. The state of the process is monitored through a number of chemical and biological variables and this information is used to infer the plant loading state. After a brief introduction of the plant supervision scheme, the paper describes how the Fuzzy C-Means (FCM) classification algorithm can be used in this application and enhanced with an adaptive capability, enabling the supervisory control system to detect process departure from normal operating conditions.