Prediction of primary treatment effluent parameters by Fuzzy Inference System (FIS) approach
Küçük Resim Yok
Tarih
2011
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
ELSEVIER SCIENCE BV
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor.
Açıklama
1st World Conference on Information Technology (WCIT) -- OCT 06-10, 2010 -- Bahcesehir Univ, Istanbul, TURKEY
Anahtar Kelimeler
Fuzzy Inference System, Wastewater, Expert Knowledge, Mamdani
Kaynak
WORLD CONFERENCE ON INFORMATION TECHNOLOGY (WCIT-2010)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
3
