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: | Syed Ab. Rahman, Syed Azhar |
---|---|
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!
|
Similar Items
-
Preparation, Characterization And Performance Of Tio2 Based Catalytic Pellet For Detection Of Volatile Organic Compound Under UV Light[TP1-1185].
by: Juhari, Jusliha
Published: (2009) -
Nonlinear Autoregressive With Exogenous Input Model Based Control Strategy For Batch Esterification Reactor
by: Zulkeflee, Asyura Binti
Published: (2009) -
Treatment Of Anaerobically Digested Palm Oil Mill Wastewater Using Sequencing Batch Reactor (Sbr)
by: Lim, Jing Xiang
Published: (2013) -
Moving Bed Sequencing Batch Reactor: Optimization Of Operational Parameters For Nitrogen And 4-Chlorophenol Removal
by: Lim, Jun Wei
Published: (2013) -
Evaluation of sequential batch reactor wastewater treatment plant using artificial neural network /
by: Mujeli, Mustapha
Published: (2012)