Modelling of faults for chemical batch reactor using artificial neural network and fuzzy logic [TP1-1185].

Syed Ab. Rahman, Syed Azhar (2009) Modelling of faults for chemical batch reactor using artificial neural network and fuzzy logic [TP1-1185]. Masters thesis, Universiti Sains Malaysia.

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Abstract

Setiap proses kimia cenderung untuk mengalami kegagalan. Situasi ini memaksa industri dan penyelidik mencari teknik bersesuaian bagi mengesan kegagalan secepat yang mungkin. Every chemical processes prones to failure. This situation enforces the researchers and industrial to find the appropriate techniques to detect a process failure as early as possible.

Item Type:	Thesis (Masters)
Subjects:	T Technology > TP Chemical Technology > TP1-1185 Chemical technology
Divisions:	Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraan Kimia (School of Chemical Engineering) > Thesis
Depositing User:	Mr Erwan Roslan
Date Deposited:	21 Dec 2009 08:34
Last Modified:	17 Apr 2017 07:55
URI:	http://eprints.usm.my/id/eprint/15590

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