On neuro-fuzzy applications for automatic control, supervision, and fault diagnosis for water treatment plant

Water treatment includes many complex phenomena, such as coagulation and flocculation. These reactions are hard or even impossible to control satisfyingly by conventional methods. Biological water treatment systems are difficult to model because their performance is complex and varies significantly...

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Bibliographic Details
Main Author:	Ariffin, Kasuma
Format:	Thesis
Language:	English
Published:	2007
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/5766/1/KasumaAriffinMFKE2007.pdf
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id	my-utm-ep.5766
record_format	uketd_dc
spelling	my-utm-ep.57662018-07-30T08:39:21Z On neuro-fuzzy applications for automatic control, supervision, and fault diagnosis for water treatment plant 2007-05 Ariffin, Kasuma TK Electrical engineering. Electronics Nuclear engineering Water treatment includes many complex phenomena, such as coagulation and flocculation. These reactions are hard or even impossible to control satisfyingly by conventional methods. Biological water treatment systems are difficult to model because their performance is complex and varies significantly with different reactor configurations, influent characteristics, and operational conditions. Neuro-fuzzy ANFIS method, which is chosen as the method in this case, is a new intelligent method in this line of process industry. Although intelligent tools such as neural network, fuzzy logic and neuro-fuzzy methods have been applied in real time water treatment plant for some time, problems of monitoring water treatment processes and assessing uncertainty for the coagulant dosing rate represent a major challenged that need to be investigated. In this research, statistical methods are used to analyze nonstationary time series water treatment process where they are accrued from a neuro-fuzzy ANFIS model. The proposed scheme is evaluated in computer simulation studies using real process data before application to the real plant. 2007-05 Thesis http://eprints.utm.my/id/eprint/5766/ http://eprints.utm.my/id/eprint/5766/1/KasumaAriffinMFKE2007.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Ariffin, Kasuma On neuro-fuzzy applications for automatic control, supervision, and fault diagnosis for water treatment plant
description	Water treatment includes many complex phenomena, such as coagulation and flocculation. These reactions are hard or even impossible to control satisfyingly by conventional methods. Biological water treatment systems are difficult to model because their performance is complex and varies significantly with different reactor configurations, influent characteristics, and operational conditions. Neuro-fuzzy ANFIS method, which is chosen as the method in this case, is a new intelligent method in this line of process industry. Although intelligent tools such as neural network, fuzzy logic and neuro-fuzzy methods have been applied in real time water treatment plant for some time, problems of monitoring water treatment processes and assessing uncertainty for the coagulant dosing rate represent a major challenged that need to be investigated. In this research, statistical methods are used to analyze nonstationary time series water treatment process where they are accrued from a neuro-fuzzy ANFIS model. The proposed scheme is evaluated in computer simulation studies using real process data before application to the real plant.
format	Thesis
qualification_level	Master's degree
author	Ariffin, Kasuma
author_facet	Ariffin, Kasuma
author_sort	Ariffin, Kasuma
title	On neuro-fuzzy applications for automatic control, supervision, and fault diagnosis for water treatment plant
title_short	On neuro-fuzzy applications for automatic control, supervision, and fault diagnosis for water treatment plant
title_full	On neuro-fuzzy applications for automatic control, supervision, and fault diagnosis for water treatment plant
title_fullStr	On neuro-fuzzy applications for automatic control, supervision, and fault diagnosis for water treatment plant
title_full_unstemmed	On neuro-fuzzy applications for automatic control, supervision, and fault diagnosis for water treatment plant
title_sort	on neuro-fuzzy applications for automatic control, supervision, and fault diagnosis for water treatment plant
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2007
url	http://eprints.utm.my/id/eprint/5766/1/KasumaAriffinMFKE2007.pdf
_version_	1747814607605465088

On neuro-fuzzy applications for automatic control, supervision, and fault diagnosis for water treatment plant

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