Journal of Applied Sciences1812-56541812-5662Asian Network for Scientific Information10.3923/jas.2006.2817.2820AllaAhmed N. Abd 122006613In 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]]>Benbouzid, M.E.H.,200047984993Bonnett, A.H. and G.C. Soukup,199228921937Marcus, A.C., T.G. Habetler and G.B. Kliman,19983412341239Chow, M.Y.,1997Farag, S.F., R.G. Bartheld and T.G. Habrtler,199622126Kolla, S.R. and L. Varatharasa,200039433439Joksimovic, G.M. and J. Penman,20004710781084Schoen, R.R., B.K. Lin, T.G. Habetler, J.H. Schlag and S. Farag,19953112801286Siddique, A., G.X.Y. Adava and B. Sin,20032003pp: 2934Stavrou, A., H. Sedding and J. Penman,2001163237Penman, J. and C.M. Yin,199441317322