Modelling of faults for chemical batch reactor using artificial neural network and fuzzy logic [TP1-1185].
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...
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| Format: | Thesis |
| Language: | English |
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2009
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| Online Access: | http://eprints.usm.my/15590/1/MODELING_OF_FAULTS_FOR_CHEMICAL_BATCH_REACTOR_USING_ARTIFICIAL_NEURAL_NETWORK_AND_FUZZY_LOGIC.pdf |
| _version_ | 1797005520969662464 |
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| author | Syed Ab. Rahman, Syed Azhar |
| author_facet | Syed Ab. Rahman, Syed Azhar |
| author_sort | Syed Ab. Rahman, Syed Azhar |
| collection | USM |
| description | 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.
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| first_indexed | 2024-03-06T14:11:33Z |
| format | Thesis |
| id | usm.eprints-15590 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2024-03-06T14:11:33Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | usm.eprints-155902017-04-17T07:55:10Z http://eprints.usm.my/15590/ Modelling of faults for chemical batch reactor using artificial neural network and fuzzy logic [TP1-1185]. Syed Ab. Rahman, Syed Azhar TP1-1185 Chemical technology 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. 2009-06 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/15590/1/MODELING_OF_FAULTS_FOR_CHEMICAL_BATCH_REACTOR_USING_ARTIFICIAL_NEURAL_NETWORK_AND_FUZZY_LOGIC.pdf 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. |
| spellingShingle | TP1-1185 Chemical technology Syed Ab. Rahman, Syed Azhar Modelling of faults for chemical batch reactor using artificial neural network and fuzzy logic [TP1-1185]. |
| title | Modelling of faults for chemical batch reactor using artificial neural network and fuzzy logic [TP1-1185]. |
| title_full | Modelling of faults for chemical batch reactor using artificial neural network and fuzzy logic [TP1-1185]. |
| title_fullStr | Modelling of faults for chemical batch reactor using artificial neural network and fuzzy logic [TP1-1185]. |
| title_full_unstemmed | Modelling of faults for chemical batch reactor using artificial neural network and fuzzy logic [TP1-1185]. |
| title_short | Modelling of faults for chemical batch reactor using artificial neural network and fuzzy logic [TP1-1185]. |
| title_sort | modelling of faults for chemical batch reactor using artificial neural network and fuzzy logic tp1 1185 |
| topic | TP1-1185 Chemical technology |
| url | http://eprints.usm.my/15590/1/MODELING_OF_FAULTS_FOR_CHEMICAL_BATCH_REACTOR_USING_ARTIFICIAL_NEURAL_NETWORK_AND_FUZZY_LOGIC.pdf |
| work_keys_str_mv | AT syedabrahmansyedazhar modellingoffaultsforchemicalbatchreactorusingartificialneuralnetworkandfuzzylogictp11185 |