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On-line incipient fault detection in single-phase squirrel cage using artificial intelligence

Hee, Alvin Bryan Choon Loong (2009) On-line incipient fault detection in single-phase squirrel cage using artificial intelligence. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang.

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On-line incipient fault detection in single-phase squirrel cage using artificial intelligence (Table of content).pdf - Accepted Version

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On-line incipient fault detection in single-phase squirrel cage using artificial intelligence (aBSTRACT).pdf - Accepted Version

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On-line incipient fault detection in single-phase squirrel cage using artificial intelligence (Chapter 1).pdf - Accepted Version

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On-line incipient fault detection in single-phase squirrel cage using artificial intelligence (References).pdf - Accepted Version

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Abstract

This project creates and develops an artificial neural network that is capable to determine the condition of a motor whether it is in a healthy state or fault state. All of the data used to train the artificial neural network is obtained by using the result from the simulation of MATLAB Simulink model that represent the real motor. The artificial neural network is trained by using radial basis function neural network method. MATLAB is used to construct and develop Graphical User Interface and interface it with the artificial neural network created. By doing so, the user will be able to test the neural network created with ease of using the Graphical User Interface

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Electrical Engineering (Power System)) -- Universiti Malaysia Pahang - 2009, SV: Dr Ahmed N Abdul Alla
Uncontrolled Keywords: Electric driving; Automatic control
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Syed Mohd Faiz
Date Deposited: 10 Apr 2012 06:06
Last Modified: 10 Apr 2017 01:27
URI: http://umpir.ump.edu.my/id/eprint/1930
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