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Document Type : Latin Dissertation
Language of Document : English
Record Number : 148652
Doc. No : ET20444
Main Entry : WESM ABDULLH SHAMASI
Title Proper : AN ADAPTWE NEURAL NETWORKS CONTROLLER FOR THE IHLIWE SURFACE OWWATER SEPARATOR
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The objective of this thesis is to develop an adaptive Artificial Neural Networks (ANN)controller to control water extraction of the Inline Surface OilIWater Separator (ISOWS).The thesis contains both a theoretical part and a practical part of the implementation ofthe ANN controller. The definition of the process problem is briefly discussed to explainthe practical application of the ANN controller. An overview of the ANN types and thecalculations commonly used for training Feed Forward ANNs are given. More emphasisis shown on the RBF Networks with online training. The practical part shows the detailedimplementation blocks of this project consisting of the system used to control waterextraction from the ISOWS, which includes water-in-oil detection probes, inputprocessing, ANN controller, anti-windup routine, output processing, and the motor-operated-valves (MOVs), which are controlled using the output parameters. The resultsof the practical application of the ANN controller to the ISOWS are illustrated usingscreen captures of the graphical interface of the developed software and a short video forthe actual operation and control of the ISOWS..
Subject : Electericl tess
: برق
electronic file name : TL43579.pdf
Title and statement of responsibility and : AN ADAPTWE NEURAL NETWORKS CONTROLLER FOR THE IHLIWE SURFACE OWWATER SEPARATOR [Thesis]
 
 
 
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