Estimation of turbidity in water treatment plant using hammerstein-wiener and neural network technique

• Main Authors: Gaya, M. S., Zango, M. U., Yusuf, L. A., Mustapha, M., Muhammad, B., Sani, A., Tijjani, A., Wahab, N. A., Khairi, M. T. M.
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/74899/1/NorhalizaAbdulWahab_EstimationofTurbidityinWaterTtreatment.pdf; http://eprints.utm.my/id/eprint/74899/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016993323&doi=10.11591%2fijeecs.v5.i3.pp666-672&partnerID=40&md5=8975efeb191788f844d07ec31dab5dbf

Turbidity is a measure of water quality. Excessive turbidity poses a threat to health and causes pollution. Most of the available mathematical models of water treatment plants do not capture turbidity. A reliable model is essential for effective removal of turbidity in the water treatment plant. Thi...