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.

[img]
Preview
PDF
Download (580Kb) | Preview

    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)
    Depositing User: Mr Erwan Roslan
    Date Deposited: 21 Dec 2009 16:34
    Last Modified: 13 Jul 2013 14:00
    URI: http://eprints.usm.my/id/eprint/15590

    Actions (login required)

    View Item
    Share