Prediction of primary treatment effluent parameters by Fuzzy Inference System (FIS) approach

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Abstract

A fuzzy-logic-based diagnosis system was developed to determine the primary treatment effluent quality in a municipal wastewater treatment plant (MWTP). The measured data of variables were implemented into the Fuzzy Inference System (FIS) with Mamdani's method. The fuzzy control rule base was shaped to define essential quality parameters monitored as pH, COD, BOD and SS outputs. The output approximations to real data remained in an acceptable range for a MWTP performance (89-96%). The averages and standard deviations of the model were also approximated closely as 93-98% and 89-97%, respectively. The resulting configuration proved a good modeling approach for MWTP effluent quality prediction. © 2010 Published by Elsevier Ltd.

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Yel, E., & Yalpir, S. (2011). Prediction of primary treatment effluent parameters by Fuzzy Inference System (FIS) approach. In Procedia Computer Science (Vol. 3, pp. 659–665). https://doi.org/10.1016/j.procs.2010.12.110

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