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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2009
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/15590/1/MODELING_OF_FAULTS_FOR_CHEMICAL_BATCH_REACTOR_USING_ARTIFICIAL_NEURAL_NETWORK_AND_FUZZY_LOGIC.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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.
|
|---|