Subscribe Now Subscribe Today
Science Alert
 
Blue
   
Curve Top
Journal of Applied Sciences
  Year: 2006 | Volume: 6 | Issue: 13 | Page No.: 2817-2820
DOI: 10.3923/jas.2006.2817.2820
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Three Phase Induction Motor Faults Detection by Using Radial Basis Function Neural Network

Ahmed N. Abd Alla

Abstract:
In the present study the Artificial Neural Network (ANN) technique for the detection of (bearing and stator inter turn faults) incipient faults in an induction motor bas been explored. Radial basis function approach has been used for ANN Training and test. Three phase instantaneous currents and angular velocity depending on rotor speed are utilized in proposed approach. An experimental setup is used to implement an online fault defector
PDF References Citation Report Citation
 RELATED ARTICLES:
  •    A Review of Nearest Neighbor-Support Vector Machines Hybrid Classification Models
  •    Tournament Structure Ranking Techniques for Bayesian Text Classification with Highly Similar Categories
How to cite this article:

Ahmed N. Abd Alla , 2006. Three Phase Induction Motor Faults Detection by Using Radial Basis Function Neural Network. Journal of Applied Sciences, 6: 2817-2820.

DOI: 10.3923/jas.2006.2817.2820

URL: https://scialert.net/abstract/?doi=jas.2006.2817.2820

COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 

Curve Bottom