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Fault detection in three phase induction motor using artificial intelligence

Ahmad Farid, Abu Bakar (2009) Fault detection in three phase induction motor using artificial intelligence. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang.

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Abstract

Artificial intellegence (AI) techniques have proved their ability in detection of incipient faults in electrical machines. in this project, the fault diagnosis of three phase induction motors is studied detailed in unbalance voltage and stator inter turn fault using simulation models and neural networks have been used to train the data using Radial Basis Function Neural Network (RBFNN) in MATLAB with Graphical USer Interface Development Environment (GUIDE) structured.

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Electrical Engineering (Power System)) -- Universiti Malaysia Pahang - 2009
Uncontrolled Keywords: Electric driving; Automatic control; Electric motors; Automatic control; Artificial intelligence
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Syed Mohd Faiz
Date Deposited: 30 Dec 2011 06:01
Last Modified: 07 Apr 2017 07:55
URI: http://umpir.ump.edu.my/id/eprint/1927
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