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

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

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 mod...

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Bibliographic Details
Main Author: Hee, Alvin Bryan Choon Loong
Format: Undergraduates Project Papers
Language:English
Published: 2009
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/1930/
http://umpir.ump.edu.my/id/eprint/1930/1/On-line%20incipient%20fault%20detection%20in%20single-phase%20squirrel%20cage%20using%20artificial%20intelligence.pdf

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