Predicting insulation thickness in thermoplastic extrusion process in Nigeria cable industries using artificial neural network

Predicting insulation thickness in thermoplastic extrusion process in Nigeria cable industries using artificial neural network

Cable manufacturing in a developing country like Nigeria today is faced with the problem of thermoplastic extrusion processes due to the complex nature of the parameters that are involved in the process.These process parameters that include melt temperature, pressure,and screw speed generally impact the quality of the electrical insulation product. The main consequence of the...
 
Published at Engineering Letters
Volume 27
Issue 4
Pages 907-917
Published in 2019
 
 
visit (http://www.engineeringletters.com/issues_v27/issue_4/EL_27_4_32.pdf)
 
 
Abdulkareem, Ademola, Adesanya, A., Popoola, O., Awosope, C.O.A.
Abdulkareem Ademola » Engr. Dr. Ademola Abdulkareem is a Senior Lecturer in the Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria. He obtained a Bachelor of Engineering (B.Eng.) in Electrical/Electronic Engineering from the University of Ilorin, Ilorin, Nigeria. He also earned a Master's degree (M.Sc.) in 2008 at the University of Lagos, Lagos, Nigeria, in Electrical and... view full profile
Abdulkareem Ademola
 
Other publications by this author (view profile)
 
 
Determination of Power System Losses in Nigeria Electricity Distribution Networks
 
Investigating the Effect of Asymmetrical Faults at Some Selected Buses on the Performance of the Nigerian 330-kV Transmission System
 
The Use of Three-Phase Fault Analysis for Rating Circuit Breakers on Nigeria 330-kV Transmission Lines
 
Power Line Technical Loss Evaluation based on Line Current from Unbalanced Faults
 
On the Cost Implications of Technical Energy Losses on Nigerian 330-kV Transmission Grid System
 
Contingency Analysis for Assessing Line Losses in Nigeria 330-kV Power lines
 
Development of a Programmable Mobile Robot
 
Investigation of the Performance of Synchronous Generators Equipped with Nonlinear Excitation Controller
 
Modelling and Analysis of Powerline Temperature Surveillance with Optisystem Simulation
 
Pseudo-Inverse Matrix Model for Estimating Long-Term Annual Peak Electricity Demand: The Covenant University Experience
 
Design and Development of An Automatic Three-Phase Sequence Reversal Detection and Correction for Industrial Equipment Structure
 
Critical Review of Different Methods for Siting and Sizing Distributed-generators
 
Prediction of the Voltage Status of a Three‑Phase Induction Motor using Data Mining Algorithms
 
The significance of the mode of voltage imbalance on the operation and energy losses of a 3-phase induction motor
 
Design and implementation of a prototype remote-controlled pick and place robot
 
Development of a smart autonomous mobile robot for cafeteria management
 
Web based fingerprint roll call attendance management system
 
Development and implementation of a miniature RFID system in a shopping mall environment
 
Nonlinear dynamic simulation of a magnetic levitation system using MATLAB/Simulink
 
Deployment of Power Network Structural Topology to Optimally Position Distributed Generator within Distribution system
 
Effects of Ground Resistivity and Tower Structural Design on Transmission Line Symmetrical Components
 
Development of an Improved Monte Carlo Simulation Algorithm for Reliability Assessment of Large Distribution Systems
 
Predicting Extrusion Process Parameters in Nigeria Cable Manufacturing Industry Using Artificial Neural Network
 
Design of a Pneumatic Soft Actuator Controlled via Eye Tracking and Detection
 
Hand gesture control and design of a rotary pneumatic soft actuator using leap motion sensor